Best Vines 2012 With Titles For Essays

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ACL

A few items are still missing. Please help complete this table and link papers to PDFs in the ACL Anthology.

YearAuthorPaper Title
2001 Eugene Charniak Immediate-head parsing for language modeling
2001 Ulrich Germann, Michael Jahr, Kevin Knight, Daniel Marcu, and Kenji Yamada Fast Decoding and Optimal Decoding for Machine Translation
2002 Franz Och and Hermann Ney Discriminative Training and Maximum Entropy Models for Statistical Machine Translation
2003 Dan Klein and Chris Manning Accurate Unlexicalized Parsing
2003 Yukiko Nakano, Gabe Reinstein, Tom Stocky, and Justine Cassell Towards a Model of Face-to-Face Grounding
2004 Diana McCarthy, Rob Koeling, Julie Weeds, and John Carroll Finding Predominant Word Senses in Untagged Text
2005 David Chiang A hierarchical phrase-based model for statistical machine translation
2006 Rion Snow, Dan Jurafsky, and Andrew Y. Ng Semantic taxonomy induction from heterogenous evidence
2007 Y. W. Wong and R. J. Mooney Learning synchronous grammars for semantic parsing with lambda calculus
2008 Liang Huang Forest Reranking: Discriminative Parsing with Non-Local Features
2008 Libin Shen, Jinxi Xu and Ralph Weischedel A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model
2009 Andre Martins, Noah Smith and Eric Xing Concise Integer Linear Programming Formulations for Dependency Parsing
2009 S.R.K. Branavan, Harr Chen, Luke Zettlemoyer and Regina Barzilay Reinforcement Learning for Mapping Instructions to Actions
2009 Adam Pauls and Dan Klein K-Best A* Parsing
2010 (Long) Matthew Gerber and Joyce Chai Beyond NomBank: A Study of Implicit Arguments for Nominal Predicates
2010 (Short) Michael Lamar, Yariv Maron, Mark Johnson and Elie Bienenstock SVD and Clustering for Unsupervised POS Tagging
2010 (Student) David Elson, Nicholas Dames and Kathleen McKeown Extracting Social Networks from Literary Fiction
2011 Dipanjan Das and Slav Petrov Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections
2012 (Long) Hiroyuki Shindo, Yusuke Miyao, Akinori Fujino and Masaaki Nagata Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing
2012 (Student) Fan Bu, Hang Li and Xiaoyan Zhu String Re-writing Kernel
2013 Haonan Yu and Jeffrey Mark Siskind Grounded Language Learning from Video Described with Sentences
2013 (Student) Abdellah Fourtassi and Emmanuel Dupoux A corpus-based evaluation method for Distributional Semantic Models
2014 Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz and John Makhoul Fast and Robust Neural Network Joint Models for Statistical Machine Translation
2014 (Short) Jean Mark Gawron Improving sparse word similarity models with asymmetric similarity measures.
2014 (Student) Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay and Tommi Jaakkola Low-Rank Tensors for Scoring Dependency Structures

NAACL

YearAuthorPaper Title
2004 Regina Barzilay, MIT, and Lillian Lee, Cornell Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
2006 Mehryar Mohri and Brian Roark Probabilistic Context-Free Grammar Induction Based on Structural Zeros
2006 Aria Haghighi and Dan Klein Prototype-Driven Learning for Sequence Models
2007 Antti-Veikko Rosti, Bing Xiang, Spyros Matsoukas, Richard Schwartz, Necip Fazil Ayan and Bonnie Dorr Combining Outputs from Multiple Machine Translation Systems
2009 Hoifung Poon, Colin Cherry and Kristina Toutanova Unsupervised Morphological Segmentation with Log-Linear Models
2009 David Chiang, Kevin Knight and Wei Wang 11,001 New Features for Statistical Machine Translation
2010 (long) Aria Haghighi and Dan Klein Coreference Resolution in a Modular, Entity-Centered Model
2010 (short) Jennifer Foster “cba to check the spelling”: Investigating Parser Performance on Discussion Forum Posts
2012 (full) Alexander Rush and Slav Petrov Vine Pruning for Efficient Multi-Pass Dependency Parsing
2012 (short) Jacob Devlin and Spyros Matsoukas Trait-Based Hypothesis Selection for Machine Translation
2012 (student) Oscar Taeckstroem, Ryan McDonald and Jakob Uszkoreit Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure
2013 (full) no award given
2013 (short) Marta Recasens, Marie-Catherine de Marneffe and Christopher Potts The Life and Death of Discourse Entities: Identifying Singleton Mentions
2013 (student) Bradley Hauer and Greg Kondrak Automatic Generation of English Respellings
2015 (long) Radu Soricut and Franz Och Unsupervised Morphology Induction Using Word Embeddings
2015 (student) Vinodh Krishnan and Jacob Eisenstein "You’re Mr. Lebowski, I’m the Dude”: Inducing Address Term Formality in Signed Social Networks
2015 (student) Manaal Faruqui, Jesse Dodge, Sujay Kumar Jauhar, Chris Dyer, Eduard Hovy, Noah A. Smith Retrofitting Word Vectors to Semantic Lexicons

EMNLP

YearAuthorPaper Title
2002 Michael Collins Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
2002 Frank Keller, Maria Lapata, and Olga Ourioupina Using the Web to Overcome Data Sparseness
2003 Peng Xu, Ahmad Emami and Frederick Jelinek Training Connectionist Models for the Structured Language Model
2004 Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, and Christopher Manning Max-Margin Parsing
2005 (best student paper) Ryan McDonald, Fernando Pereira, Kiril Ribarov and Jan Hajic Non-Projective Dependency Parsing using Spanning Tree Algorithms
2006 no award given
2007 James Clarke and Maria Lapata Modelling Compression with Discourse Constraints
2008 no award given
2009 Hoifung Poon and Pedro Domingos Unsupervised semantic parsing
2010 Terry Koo, Alexander M. Rush, Michael Collins, Tommi Jaakkola, and David Sontag Dual Decomposition for Parsing with Non-Projective Head Automata
2011 Wei Lu and Hwee Tou Ng A Probabilistic Forest-to-String Model for Language Generation from Typed Lambda Calculus Expressions
2012 Annie Louis and Ani Nenkova A Coherence Model Based on Syntactic Patterns
2013 Valentin Spitkovsky, Hiyan Alshawi and Daniel Jurafsky Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction

IJCNLP

YearAuthorPaper Title
2005 John Carroll and Stephan Oepen High Efficiency Realization for a Wide-Coverage Unification Grammar
2009 Andre Martins, Noah Smith and Eric Xing Concise Integer Linear Programming Formulations for Dependency Parsing
2009 S.R.K. Branavan, Harr Chen, Luke Zettlemoyer and Regina Barzilay Reinforcement Learning for Mapping Instructions to Actions
2009 Adam Pauls and Dan Klein K-Best A* Parsing
2011 Caecilia Zirn, Mathias Niepert, Heiner Stuckenschmidt, and Michael Strube Fine-Grained Sentiment Analysis with Structural Features
2011 Siva Reddy, Ioannis Klapaftis, Diana McCarthy and Suresh Manandhar Dynamic and Static Prototype Vectors for Semantic Composition
2013 Houda Bouamor, Behrang Mohit and Kemal Oflazer SuMT: A Framework of Summarization and MT

(By Tracy Bennett, Metro-Goldwyn-Mayer Pictures)

A filmed personal statement might have helped Elle Woods get into Harvard Law School, but in the real world, you’re better off sticking to these tips.

If you have seen the 2001 film, Legally Blonde, you might remember that Elle Woods, played by Reese Witherspoon, creates a video for her admissions essay to Harvard Law School. As she sits in a hot tub, she states that she will be an “amazing lawyer” because she can discuss important issues, such as the brand of toilet paper used in her sorority house, and she uses “legal jargon in everyday life” to object when men harass her. She can also recall details at the “drop of a hat,” including the recent events on a soap opera. (If you haven’t seen the movie or simply want a good laugh, you can view the clip on YouTube.)

Although the Harvard committee granted Elle admission, you will probably want to take your essay in a different direction. While you cannot change your grade point average or entrance exam scores, you have complete control over the contents of your personal statement. There are many applicants and few spots, so work diligently to persuade readers that you fit their program given your qualifications, interests and professional goals. Use the tips below to prepare and refine your essay.

1. Just get started.

Yes, your first sentence should be compelling and attention-grabbing, but if you attempt to identify your opening line immediately you will probably induce writer’s block. Make an outline or free write. You can tweak the introduction later once you are more aware of your noteworthy accomplishments or the defining events that have led to your career interests.

2. Articulate your reasons for selecting your chosen career.

Although these essays are often called personal statements, they are not an autobiography. Instead, view it as an essay about your journey as an emerging scholar. Provide evidence to demonstrate that you have actively confirmed your interests and that earning an advanced degree will help you achieve these goals. Describe the courses, articles, professors, research, service projects, internships, shadowing or co-curricular activities that have shaped your aspirations. Avoid references to high school accomplishments, gimmicks or clichés such as, “I have always wanted to be a _________.” Cautiously address controversial topics. It is one thing to demonstrate your knowledge of the field by referencing a current debate. It is quite another thing to offend your readers with excessive political or religious rhetoric.

3. Be specific.

For example, it is not enough to say that you aspire to be a social worker because you want to help children. You could do this in a variety of occupations. Similarly, anyone can say that they are interested in law. Earn credibility by demonstrating this passion. Have you worked at a law firm or participated in student government, Model UN and/or mock trial?

4. One size does not fit all.

Unless it is a common application system, such as those used by law, physical therapy and medical schools, you should describe your rationale for selecting the program among other alternatives. By the way, most of the schools that use a common application system will require supplemental essays that inquire about this. For the time being, you may omit it from your initial personal statement. Each institution has its own values, mission and faculty. What led you to select its particular program over others? Was it an emphasis in a particular area (e.g., rural practice, technology) or the research interests of a professor? Was your interest heightened by a conversation with its alumni?

5. Whatever your reasons for applying, be sincere.

Briefly mention any noteworthy and appealing features that attracted you to the program or institution, but do not go overboard. Committee members already know the prestigious awards that they have won, and most of your competition will mention these same attributes. If you offer excessive praise, you may only appear disingenuous.

6. Describe your professional interests, particularly as they relate to research.

If you identified faculty members who share your interest in a topic, describe your desire to work with them. Be specific, but keep your options open, too. Committee members will roll their eyes if you say you are interested in every research area of its faculty. On the other hand, if your interests are too narrow, they may question your ability to collaborate with professors.

7. Demonstrate your motivation and capacity to succeed.

Graduate schools are not only selecting students, but they are also choosing future ambassadors of their program. Persuade them that you will contribute to their reputation as an institution throughout your academic studies and professional career. Avoid summarizing other parts of your application. Instead, you should provide them with concrete examples including relevant publications, presentations, classroom assignments and employment experiences. For example, describing a service project could demonstrate your compassion, which some medical schools value. If you collaborated with others on a research topic, describe your specific contribution. Research in particular is valuable to your readers because you will more than likely need to immerse yourself in this activity during your graduate studies, especially if you are a Ph.D. candidate.

If you have any blemishes in your application, such as low test scores, criminal convictions or poor grades, think carefully before you offer a rationale. If you were to survey career coaches and faculty, some would advise you to describe anomalies because, if you do not, you leave it open to imagination. Others, however, would only encourage you to share details if the graduate program requests it. Advisers on this side of the camp fear that graduate programs may perceive such descriptions as potential liabilities or excuses, especially if your grades were repeatedly low. For example, while committee members may empathize if you reveal that you struggle with test anxiety, they may still question your ability to succeed. Most graduate programs entail tests, and many occupations require individuals to pass licensing examinations before they can enter the fields. Applicants’ inability to perform in this arena may jeopardize the professional standing of the institution.

If you elect to include this information, be brief and positive. Keep it simple and do not be defensive. Perhaps your academic ability improved once you discovered your passion. Maybe you persisted despite a serious illness or death in your family. If you decide not to address these anomalies yourself, consider asking one of your trusted references to include the topic from a positive standpoint in your letter of recommendation.

8. Be concise.

Personal statements are generally no more than two pages. If the sentence is not essential to your thesis, remove it. Also eliminate unnecessary words, such as “in order to,” “I believe” and “the fact is.”

9. Carefully proofread and refine the essay.

Any errors reflect your ability as a writer. Confirm that you used transitions, diverse sentence structures, first person and active voice. Substitute weak words, such as “love,” with a more professional, powerful alternative. Let it sit overnight. Then, read it aloud or backward. Have a consultant at your campus writing center or a professor critique the essay.

10. Enjoy the writing process.

Preparing a personal statement confirms your desire to attend graduate school and clarifies your interests or goals, which is why professional schools require it. A few years from now, this will prove helpful in your professional job search as you write cover letters and respond to interview questions.

Billie Streufert is director of the Academic Success Center at the University of Sioux Falls in South Dakota. With nearly 10 years of experience in career and academic advising, she is passionate about helping individuals discover and achieve their goals. She is eager to connect with students via Twitter, LinkedIn, Facebook and her blog.

Billie Streufert, grad school, Harvard, personal statement, University of Sioux Falls, CAMPUS LIFE, CAREER PATH, VOICES FROM CAMPUS 

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