Develop Reference

Big Bird Pegasus Summarization output is repeating itself

I am trying to use Big Bird Pegasus to summarize various long texts. The output is repeating the same concept in each sentence.
Here is my code using a news article I copied from NPR. The text is longer than the 4096 token limit, so it takes the first few thousand words from my input.
from transformers import BigBirdPegasusForConditionalGeneration, AutoTokenizer, AutoModelForSeq2SeqLM
model = BigBirdPegasusForConditionalGeneration.from_pretrained("google/bigbird-pegasus-large-arxiv")
tokenizer = AutoTokenizer.from_pretrained("google/bigbird-pegasus-large-arxiv")
src_text = '''
On a sleepy cul-de-sac amid the bucolic vineyards and grassy hills of California's Sonoma Valley, a $4 million house has become the epicenter of a summer-long spat between angry neighbors and a new venture capital-backed startup buying up homes around the nation. The company is called Pacaso. It says it's the fastest company in American history to achieve the "unicorn" status of a billion-dollar valuation — but its quarrels in wine country, one of the first regions where it's begun operations, foreshadow business troubles ahead.
Brad Day and his wife, Holly Kulak, were first introduced to Pacaso in May after a romantic sunset dinner in their yard. "And we just saw this drone, coming up and over our backyard," Day says. "And we're like, what is that?"
Pacaso denies directing or paying a drone operator to film the neighborhood. But its website does have drone photos of the house in question, located at 1405 Old Winery Court. It says it bought the photos after the fact.
Nonetheless, after the drone incident, Day and Kulak got suspicious about what was going on in their neighborhood. About a week later, their neighbors told them they were moving and selling their house to a limited liability corporation, or LLC. But they were super vague about it.
Day and Kulak began speaking with other residents on their cul-de-sac. One of them, Nancy Gardner, had learned from a friend in nearby Napa Valley about a new company called Pacaso that was buying houses in the area. The company was co-founded by a Napa resident, and it converts houses into LLCs. Pacaso then sells shares of these corporate houses to multiple investors. Gardner Googled Pacaso, and, sure enough, the house on their cul-de-sac was on its website. The company had named the house "Chardonnay" and was now selling investors the chance to buy a one-eighth share of it for $606,000.
Pacaso was founded in October 2020 by Austin Allison and Spencer Rascoff, two former executives at Zillow. The company is based in San Francisco, and as is typical of tech startups in the Silicon Valley area, its founders tell a lofty story about their business that's about more than just making money. The company says the motivation for the venture began when Allison and his wife, both based in Napa, bought a second home in Lake Tahoe. The night after they closed on the house, Allison says in a promotional video, he and his wife sat around a fire "thinking how appreciative we were to be second homeowners. And, from that moment, I've always been inspired about making the dream of second home ownership possible for more people."
To make second home ownership possible for more people — and, of course, make money — Pacaso uses a "fractional home ownership" model. They buy a house, lightly refurbish it, furnish it and then create an LLC for it. They then divvy up ownership of this corporatized house into eight fractions and sell those shares on their website.
If you buy a share in a house, you're able to stay in it 44 nights per year in increments that can't exceed 14 consecutive days per visit. You can also "gift" these stays to friends or family. Pacaso offers an app to handle the logistics of booking stays. It oversees management, maintenance and cleaning of the property. In exchange for all this, it charges 12% of the home's purchase price upfront and monthly fees going forward. If you buy a share in a house, you have to hold on to it for a year. After that, you can sell it and profit from any appreciation in the home's value (or be on the hook for any depreciation).
When Day, Kulak and their neighbors learned about Pacaso's business model, they were appalled. They saw the venture capital-backed company as invading their community and converting their neighbor's house into a revolving carousel of vacationers. They imagined endless parties, noise and cars overflowing their cul-de-sac. They worried those staying at "Chardonnay" would drive too fast and fail to heed local concerns about wildfires and droughts. But, most of all, they feared the Pacaso house and more like it would destroy their sense of community and turn their neighborhood into an "adult Disneyland."
The county, Day says, had designated their neighborhood an "exclusion zone," which bans Airbnb-style, short-term rentals to preserve the "residential character" of communities. But Pacaso argues that its clients are not short-term renters. They are co-owners of an LLC. This also means they don't have to pay the typical taxes on short-term rentals. Likewise, in the nearby town of St. Helena, Pacaso was trying to circumnavigate a city ban against timeshares with the same argument. Day says he and his neighbors saw Pacaso's newfangled business model as nothing more than a "glorified timeshare" with a legal strategy aimed at "skirting regulations that are designed to keep communities intact."
The cul-de-sac sprang into action. It formed an organization called Sonomans Together Opposing Pacaso, which, not coincidentally, has the acronym STOP. It contacted the county Board of Supervisors. It created an anti-Pacaso website and circulated an online petition. It flooded the local newspaper with op-eds and letters to the editor. It lobbied local real estate agents not to work with Pacaso. "It feels like we're waging a war by land, air and sea," Day says.
Protest signs festoon the neighborhood's lawns, fences and cars. They say things such as "Stop Pacaso" and "Not here, Pacaso!" Day's favorite sign reads, "The Pacaso house is the big one on the right with no soul."
The signs, of course, make the prospect of buying a share in the Pacaso house awkward, to say the least. Alfred Miller, however, bought a share in "Chardonnay" before ever seeing it in person. Miller is a risk management consultant based in Los Angeles. He believes in Pacaso's business model. And he likes wine and Sonoma's climate. As he researched "Chardonnay" online, he liked the modern architecture and pool, and he decided he'd buy a one-eighth share of the house. It wasn't until a couple weeks after he made the purchase that he first drove up to Sonoma and witnessed the spectacle around his new investment.
"So, imagine me as a new owner driving up, and I get to the corner of Old Winery Court," Miller says. "There's a full-on, professionally printed sign that says 'No Pacaso.' '' Miller then turned right onto Old Winery Court "and the more I drive into the neighborhood, the more signs I see. Brad Day has three vehicles in front of his house, and each vehicle has an anti-Pacaso sign on it. I pull into the driveway — there are two signs on each side of the property. I mean, it was not what I would call very welcoming."
As it did on Old Winery Court, controversy erupted in Napa after the company bought a home worth $1.13 million. That's about 35% higher than Napa's median home price. Pacaso insists it only buys luxury and ultra-luxury houses, and it therefore isn't competing with local middle-class families in the housing market. But this home, located two blocks from a high school, didn't quite fit its talking points. Some Napans were pissed. Pacaso says the house was the victim of trespassing and "illegal signage." Pacaso even claims it had to file a police report after a local wrote to the company and said, "I will burn down any home you buy in Napa. This is no joke."
Pacaso's CEO, who lives in Napa, saw firsthand how angry Napans were, and the company responded. In June, Pacaso agreed to sell the Napa home in a traditional manner "to a whole home buyer" rather than convert it into a corporation and sell it to multiple people. The company also pledged to beef up its "Owner Code Of Conduct" to include "decibel limits on all home sound systems," create a "local liaison" dedicated to assisting neighbors, not buy any homes in the area for under $2 million, and, for each house sold in Napa and Sonoma counties, donate $20,000 to a local nonprofit dedicated to affordable housing.
But while it has been trying to placate local communities with business reforms, Pacaso has waged a court battle with the town of St. Helena over whether its homes should be classified as timeshares. Pacaso is dead set against that classification. One reason might be that timeshares have a bad rap: While they're a popular way to go on vacations, their costs and associated fees tend to make them money losers rather than a profitable investment.
Potentially even more damaging to Pacaso's ambitions, however: Timeshares are banned in many vacation communities around the nation. Hence, Pacaso has strong reasons to insist its homes are not timeshares.
"Unlike a timeshare model, the co-owners that Pacaso serves collectively own real estate, not time," says Ellen Haberle, director of community and government relations for Pacaso.
St. Helena disagrees, declaring Pacaso homes are not allowed in the town because of a city ordinance against timesharing. "Simply calling them co-ownership arrangements does not change that fact," City Attorney Ethan Walsh said. In response to the ban, Pacaso sued the town in federal court. The lawsuit is still pending.
Pacaso says it plans to expand across North America and Europe. Given the company's billion-dollar valuation, investors seem to believe that many people will be attracted to its model of fractional second home ownership. But local residents will likely continue to fight the unicorn stampeding into their towns.
'''
device = 'cuda' if torch.cuda.is_available() else 'cpu'
batch = tokenizer(src_text, truncation=True, padding='longest', return_tensors="pt").to(device)
translated = model.generate(**batch)
tgt_text = tokenizer.batch_decode(translated, skip_special_tokens=True)
Here is the output. It doesn't mention anything but the topic of fractional ownership. I repeated for another input text and got similar results - each sentence was a slight variation of each other.
tgt_text
['the notion of a fractional ownership in a real property was introduced in the 19th century.<n> fractional ownership in a real property was defined to be the fraction of the value of the property minus the cost of its construction.<n> the fractional ownership of a real property was defined to be the fraction of the value of the property minus the cost of its construction.<n> the fractional ownership of a home is defined to be the fraction of the value of the home minus the cost of its construction. <n> the notion of a fractional ownership in a real property was introduced in the 19th century.<n> the fractional ownership of a home is the fraction of the value of the home minus the cost of its construction.<n> the fractional ownership of a real property was defined to be the fraction of the value of the home minus the cost of its construction.<n> the fractional ownership of a home is the fraction of the value of the home minus the cost of its construction.<n> the fractional ownership of a real property was defined to be the fraction of the value of the home minus the cost of its construction.<n> the fractional ownership of a home was defined to be the fraction of the value of the home minus the cost of its construction.<n> the']

Have you tried to use no_repeat_ngram_size to generate the summarization? E.g.,
translated = model.generate(**batch, no_repeat_ngram_size=3)
This will generate following text:
the notion of a fractional ownership in a real property was introduced in the 19th century.<n> fractional ownership refers to a property that is more than one half of the value of the property. in recent years<n>, fractional ownership has been used to describe a variety of real
estate phenomena, such as the construction of bridges and tunnels, the development of canals and other drainages, as well as the movement of people and goods. here<n> we consider the fractional ownership
of a home, which can be thought of as the difference between the values of the two halves of the home.

How do I remove "\\r" characters from text in python?

I have the following job description text:
Why settle for an ordinary sales career, when you can put more life in your career with us? Colonial Life has an immediate opening for SALES REPRESENTATIVES to join our growing team.\\r\\rWe are a leader in worksite marketing. We work with employers and their employees to provide benefit solutions in one neat package: benefits communication, enrollment, and personal insurance products.\\r\\rSkills/backgrounds associated with success are:\\r\\r Experience attaining challenging sales goals.\\r Ability to identify and prioritize sales opportunities.\\r Effective verbal and written communication skills, and\xa0ability to successfully engage all levels of customer base.\\r Self-motivation and drive; willing to invest time in developing client relationships. \\r\\r\\rCareer Opportunities:\\r\\r\\r Prospect, market and deliver benefit communications and enrollment solutions to decision makers.\\r Present voluntary product solutions to employees. \\r\\r\\r\\rWe provide the tools, training and support to help you succeed. With Colonial Life, you can:\\r\xa0 \\r\\r Achieve more than just sales – enjoy being a benefits counselor.\\r Work with a sound company that’s had a solid history of integrity and growth for more than 70 years.\\r Enjoy strong earnings potential, even in your first year, plus competitive bonuses and incentives. Average first-year income for our top new benefit counselors hit $105,000 last year. \\r Grow and refine your skills through our proven phone prospecting system and structured sales training program.\\r Enjoy a flexible work schedule.\\r Earn what you’re worth, help people, and have fun doing it! \\r\\r'
I'm trying to:
a) get rid of all the "\r", "\r\r" or "\r\r\r" characters in the main text
b) print it in sentences so it's more readable
How do I do both a) and b)?
I have tried re.sub(r'[^ \w\.]', '', sentence) for a) and it removed the "\" but not the "r" so I ended up with something like that:
'Why settle for an ordinary sales career when you can put more life in your career with us Colonial Life has an immediate opening for SALES REPRESENTATIVES to join our growing team.rrWe are a leader in worksite marketing. We work with employers and their employees to provide benefit solutions in one neat package benefits communication enrollment and personal insurance products.rrSkillsbackgrounds associated with success arerr ...

Extracting (human) names from a description

I'm writing a piece of software that processes TV guide listings and converts them to XMLTV.
I've noticed that a lot of my descriptions contains who hosts the show - and I would like to be able to extract that information.
One of the methods I first looked at was regex, however my regex skills aren't great, and there doesn't seem to be a great way to achieve it anyway.
Another option is NLP, however that seems to be a bit over the top for what I need, especially since my descriptions share a common prefix (Hosted by). However, this may be the method I will go with, as it could be the most reliable and easy to use.
For reference, here is an example dataset - some are real, some are made up.
['Hosted by Jim Bolger, John James and Jim Bob, The Project is a show that exists',
'Hosted by Lisa Owen, Newshub Nation is an in-depth weekly current affairs show focusing on the major players and forces that shape New Zealand.',
'A fast paced wrap of all things entertainment, celebrity and Bravo hosted by Cassidy Morris',
'Hosted by chef Guy Fieri, Minute To Win It sees competitors take on a series of seemingly simple tasks while under a one-minute time limit.',
'Hosted by Jim van de Allen, Tom Scott and Petra Grazing, this is fair go',
'Hosted by Zyon Zickle, Johnny Boi and Zippy De Phrasee, The News looks at the important things that affect all Martians',
'Lorem is a magical substence wondered about by generations of things. This series hosted by Jim Tokien, explores this thingie']
I would much rather quality over quantity - so I'd rather it find less that matches, but most of the matches to be accurate rather than a lot of inaccurate matches.
Am I overthinking this? Is there a simpler way to do it? Any help would be greatly appreciated.

spaCy sentence segmentation failing on quotes

I am parsing some news data with spaCy and am noticing a consistent failure regarding sentence segmentation where there is a quote. Has anyone else solved this issue?
Here is a reproducible example - note sentence 4 in the output below. spaCy fails to split at the start of the quote, and this is consistent through other news articles I'm working with.
Thanks a lot.
Example:
Raw data:
u'body': u'\n LONDON Nov 4 Britons hurt by lower incomes and rising food prices after the financial crisis have cut back on fruit and vegetables and turned instead to fatty, sugary, processed food, an academic study showed on Monday.Britain has seen food prices rise much more sharply than most other developed economies between 2005 and 2012, while wage growth has been low and unemployment has risen.The net effect has been that Britons are spending 8.5 percent less in real terms on food purchased at home than before the recession - with the trend even greater for pensioners and families with young children.The research is likely to be politically sensitive at a time when Britain\'s Conservative-led government is under pressure from the opposition Labour Party, over declining standards of living and sharply rising demand at food banks which hand out free food to the poorest Britons. People have economised by buying less food, measured in number of calories, but also on its quality, picking products that are less nutritious and higher in saturated fat and sugar."Various measures of nutritional quality declined over this period, with bigger decreases for pensioner households and households with young children," said the Institute for Fiscal Studies, an economics research body.OBESITY Families with children were prone to switching to more sugary food, while pensioners favoured food high in saturated fat, the study showed. Both groups often have lower incomes.While the economy is starting to show signs of growth after suffering the biggest hit to economic growth since records began during the 2008-09 recession, households\' disposable incomes are no higher than a decade ago. However, the IFS said a lower-quality diet was not an inevitable consequence of having less money, and that some households had been able to eat as healthily as before while spending less. More research was needed to see why this was not the case for other households, the researchers added.The study looked at data on more than 15,000 households\' shopping habits collected by market research company Kantar Worldpanel between 2005 and 2012.The figures do not include meals purchased or provided away from home, for example in restaurants or at schools, which in England provide free lunches for poorer pupils.The study was released alongside a piece of longer-term research from the IFS, which showed the English now consume 15-30 percent fewer calories than in 1980, despite higher obesity rates probably due to less physical activity.This contrasts with the United States, where calorie consumption has risen as well as obesity. The IFS said it was were researching further into trends in Britons\' physical activity over the period.',
Code to split:
from __future__ import unicode_literals
import spacy
nlp = spacy.load('en')
doc1 = nlp(article_to_json['body'].decode('utf-8'), parse=True)
for number, sent in enumerate(doc1.sents):
print number, sent, "\n"
Output:
0 LONDON Nov 4 Britons hurt by lower incomes and rising food
prices after the financial crisis have cut back on fruit and
vegetables and turned instead to fatty, sugary, processed food, an
academic study showed on Monday.
1 Britain has seen food prices rise much more sharply than most other
developed economies between 2005 and 2012, while wage growth has been
low and unemployment has risen.
2 The net effect has been that Britons are spending 8.5 percent less
in real terms on food purchased at home than before the recession -
with the trend even greater for pensioners and families with young
children.
3 The research is likely to be politically sensitive at a time when
Britain's Conservative-led government is under pressure from the
opposition Labour Party, over declining standards of living and
sharply rising demand at food banks which hand out free food to the
poorest Britons.
4 People have economised by buying less food, measured in number of calories, but also on its quality, picking products that are less
nutritious and higher in saturated fat and sugar."Various measures of
nutritional quality declined over this period, with bigger decreases
for pensioner households and households with young children," said the
Institute for Fiscal Studies, an economics research body.
5 OBESITY Families with children
were prone to switching to more sugary food, while pensioners favoured
food high in saturated fat, the study showed.
6 Both groups often have lower incomes.
7 While the economy is starting to show signs of growth after
suffering the biggest hit to economic growth since records began
during the 2008-09 recession, households' disposable incomes are no
higher than a decade ago.
8 However, the IFS said a lower-quality diet was not an inevitable
consequence of having less money, and that some households had been
able to eat as healthily as before while spending less.
9 More research was needed to see why this was not the case for other
households, the researchers added.
10 The study looked at data on more than 15,000 households' shopping
habits collected by market research company Kantar Worldpanel between
2005 and 2012.The figures do not include meals purchased or provided
away from home, for example in restaurants or at schools, which in
England provide free lunches for poorer pupils.
11 The study was released alongside a piece of longer-term research
from the IFS, which showed the English now consume 15-30 percent fewer
calories than in 1980, despite higher obesity rates probably due to
less physical activity.
12 This contrasts with the United States, where calorie consumption
has risen as well as obesity.
13 The IFS said it was were researching further into trends in
Britons' physical activity over the period.

I googled the original news article to try to figure out why your data looks like it does (missing whitespace between sentences where I wouldn't expect it in a formal news article), and it looks like the original problem is that no whitespace is inserted between HTML paragraphs. If you can fix that problem with how the article is extracted from the original HTML (insert whitespace when you run into <p> or </p>), you won't have this problem with spacy or other tools.
The models available in standard tools will often be trained on news data and it's reasonable to expect them to work well for data like this, but they expect whitespace between sentences. Unless you retrain the models with data including missing whitespace between sentences (or preprocess your data as suggested in a comment), you're going have these kinds of problems.

Extracting text between two strings

I am looking to extract the text between two patterns in my text file here is my text:
Q2 2016 Apple Inc Earnings Call - Final
ONI SACCONAGHI, ANALYST, BERNSTEIN: I have one, and then a follow-up, as well. My sense is that you talked about adjusting for the changes in channel inventory, that you are guiding for relatively normal sequential growth. And I think if you do the math it's probably the same or perhaps a touch worse in terms of iPhone unit growth sequentially, relative to normal seasonality between fiscal Q2 and Q3. I guess the question is, given that you should be entering new markets and you should see pronounced elasticity from the SE device, why wouldn't we be seeing something that was dramatically above normal seasonal, in terms of iPhone revenues and units for this quarter?
Maybe you could push back on me, but I can't help thinking that when Apple introduced the iPad Mini in a similar move, to move down market, there was great growth for one quarter, and the iPad never grew again and margins and ASPs went down. It looks like you are introducing the SE, and at least on a sequential basis, you not calling for any uplift, even adjusting for channel inventory, and ASPs I presume will go down and certainly it's impacting gross margins as you've guided to. Could you respond to, A, why you're not seeing the elasticity, and B, is the analogy with the iPad mini completely misplaced?
TIM COOK: Toni, it's Tim. Let me see if I can address your question. The channel inventory reduction that Luca referred to, the vast, vast majority of that is in iPhone. That would affect the unit compare that you maybe thinking about. The iPhone SE, we are thrilled with the response that we've seen on it.
It is clear that there is a demand there, even much beyond what we thought, and so that is really why we have the constraint that we have. Do I think it will be like the iPad Mini? No, I don't think so. I don't see that.
I think the tablet market in general, one of the challenges with the tablet market is that the replacement cycle is materially different than in the smart phone market. As you probably know, we haven't had an issue in customer satisfaction on the iPad. It is incredibly high, and we haven't had an issue with usage of the iPad. The usage is incredibly high.
But the consumer behavior there is you tend to hold on for very long period of time, before an upgrade. We continue to be very optimistic on the iPad business, and as I have said in my remarks, we believe we are going to have the best compare for iPad revenue this quarter that we have quite some time. We will report back in July on that one, but I think iPhone has a particularly different kind of cycle to it than the tablet market.
TONI SACCONAGHI: Okay, and if I could follow-up, Tim. You alluded to replacement cycles and differences between the iPad and the iPhone. My sense was, when you were going through the iPhone 6 cycle, was that you had commented that the upgrade cycle was not materially different. I think your characterization was that it accelerated a bit in the US, but international had grown to be a bigger part of your business, and replacement cycles there were typically a little bit longer. I'm wondering if it was only a modest difference between the 5s and the 6, how big a difference are we really seeing in terms of replacement cycles across the last three generations, and maybe you could help us, if the replacement cycle was flat this year relative to what you saw last year, how different would your results have been this quarter in the first half?
TIM COOK: There's a lot there. Let me just say I don't recall saying the things that you said I said about the upgrade cycle, so let me get that out of the way. Now let me describe without the specific numbers, the iPhone 6s upgrade cycle that we have measured for the first half of this year, so the first six months of our fiscal year to be precise, is slightly better than the rate that we saw with the iPhone 5s two years ago, but it's lower than the iPhone 6. I don't mean just a hair lower, it's a lot lower.
Without giving you exact numbers, if we would have the same rate on 6s that we did 6, there would -- it will be time for a huge party. It would be a huge difference. The great news from my point of view is, I think we are strategically positioned very well, because we have announced the SE, we are attracting customers that we previously didn't attract. That's really great, and this tough compare eventually isn't the benchmark. The install base is up 80% over the last two years, and so all of those I think bode well, and the switcher comments I made earlier, I wouldn't underestimate that, because that's very important for us in every geography. Thanks for the question.
Q3 2016 Apple Inc Earnings Call - Final
I think the tablet market in general, one of the challenges with the tablet market is that the replacement cycle is materially different than in the smart phone market. As you probably know, we haven't had an issue in customer satisfaction on the iPad. It is incredibly high, and we haven't had an issue with usage of the iPad. The usage is incredibly high.
But the consumer behavior there is you tend to hold on for very long period of time, before an upgrade. We continue to be very optimistic on the iPad business, and as I have said in my remarks, we believe we are going to have the best compare for iPad revenue this quarter that we have quite some time. We will report back in July on that one, but I think iPhone has a particularly different kind of cycle to it than the tablet market.
TONI SACCONAGHI: Okay, and if I could follow-up, Tim. You alluded to replacement cycles and differences between the iPad and the iPhone. My sense was, when you were going through the iPhone 6 cycle, was that you had commented that the upgrade cycle was not materially different. I think your characterization was that it accelerated a bit in the US, but international had grown to be a bigger part of your business, and replacement cycles there were typically a little bit longer. I'm wondering if it was only a modest difference between the 5s and the 6, how big a difference are we really seeing in terms of replacement cycles across the last three generations, and maybe you could help us, if the replacement cycle was flat this year relative to what you saw last year, how different would your results have been this quarter in the first half?
TIM COOK: There's a lot there. Let me just say I don't recall saying the things that you said I said about the upgrade cycle, so let me get that out of the way. Now let me describe without the specific numbers, the iPhone 6s upgrade cycle that we have measured for the first half of this year, so the first six months of our fiscal year to be precise, is slightly better than the rate that we saw with the iPhone 5s two years ago, but it's lower than the iPhone 6. I don't mean just a hair lower, it's a lot lower.
Without giving you exact numbers, if we would have the same rate on 6s that we did 6, there would -- it will be time for a huge party. It would be a huge difference. The great news from my point of view is, I think we are strategically positioned very well, because we have announced the SE, we are attracting customers that we previously didn't attract. That's really great, and this tough compare eventually isn't the benchmark. The install base is up 80% over the last two years, and so all of those I think bode well, and the switcher comments I made earlier, I wouldn't underestimate that, because that's very important for us in every geography. Thanks for the question.
Q4 2016 Apple Inc Earnings Call - Final
I am looking to extract the text between 'Q2 2016 Apple Inc Earnings Call - Final' and 'Q3 2016 Apple Inc Earnings Call - Final'
and extract text between 'Q3 2016 Apple Inc Earnings Call - Final' and 'Q4 2016 Apple Inc Earnings Call - Final' and print or write them to a text file. I would really appreciate any help with this.

Before asking next time, make sure to look at the docs, go through a tutorial, take a look at other stackoverflow questions, and if you still can't find it- make sure to post what you've already tried.
Now, to give you an answer. Assuming you have the full string as the variable text
import re
target1 = 'Q2 2016 Apple Inc Earnings Call - Final'
target2 = 'Q3 2016 Apple Inc Earnings Call - Final'
regxp = '{}(.+?){}'.format(target1,target2)
pattern = re.compile(regxp, flags=re.DOTALL)
results = pattern.findall(text)
results