ACL 2014 (Resources by paper)

For an explanation of this page, see Resources by paper.

This is a bottom-up, crowdsourced effort to contribute links to open data, source code, and demos related to ACL 2014 conference and workshop papers, demos, and other projects. Please share yours! Benefits include:

• visibility for your work
• reproducible research
• future collaborations
• faster-paced innovation

The link to the document used to collect this data is: http://bit.ly/acl2014code

Resources by paper

Title: Smart Selection
Authors: Patrick Pantel, Michael Gamon, and Ariel Fuxman
Paper: http://anthology.aclweb.org//P/P14/P14-1143.pdf
Data: http://research.microsoft.com/en-us/downloads/eb42522c-068e-404c-b63f-cf632bd27344/default.aspx

Title: Context-dependent Semantic Parsing for Time Expressions
Authors: Kenton Lee, Yoav Artzi, Jesse Dodge and Luke Zettlemoyer
Paper: http://yoavartzi.com/pub/ladz-acl.2014.pdf
Code, Data and Demo: http://lil.cs.washington.edu/uwtime/

Title: Estimating Policy Trajectories During the Financial Crisis
Authors: William P. Li, David Larochelle, Andrew W. Lo
Paper: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2447293
Code: https://github.com/wpli/billtracer
Data: https://sites.google.com/site/unsharedtask2014/

DKPro Text Classification Framework Authors: Johannes Daxenberger and Oliver Ferschke and Iryna Gurevych and Torsten Zesch Paper: https://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/publikationen/2014/DKProTCPreprint.pdf Code: https://code.google.com/p/dkpro-tc/

Semantic Parsing via Paraphrasing Code: http://www-nlp.stanford.edu/software/sempre/

Weakly Supervised User Profile Extraction from Twitter http://aclweb.org/aclwiki/title=Profile_data http://69.195.124.161/~aclwebor/wiki/index.php?title=Profile_data

Inferring User Political Preferences from Streaming Communications http://www.cs.jhu.edu/~svitlana

The effect of wording on message propagation: Topic- and author- controlled natural experiments on Twitter Chenhao Tan, Lillian Lee, Bo Pang Paper & Data: http://chenhaot.com/pages/wording-for-propagation.html Demo: http://chenhaot.com/retweetedmore/

A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication Chenhao Tan, Lillian Lee Paper & Data: http://chenhaot.com/pages/wording-for-propagation.html

Automatically Detecting Corresponding Edit-Turn-Pairs in Wikipedia Data: http://www.ukp.tu-darmstadt.de/data/discourse-analysis/wikipedia-edit-turn-pair-corpus/

Less grammar, more features D. Hall, G. Durrett, and D. Klein Code: https://github.com/dlwh/epic Paper: http://www.cs.berkeley.edu/~dlwh/papers/spanparser.pdf

Sparser, better, faster gpu parsing D. Hall, T. Berg-Kirkpatrick, J. Canny, and D. Klein Code: https://github.com/dlwh/puck Paper: http://www.cs.berkeley.edu/~dlwh/papers/gpuparser.pdf

Improving lexical embeddings with semantic knowledge M. Yu, M. Dredze Code: https://github.com/Gorov/JointRCM

Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project T. Flati, D. Vannella, T. Pasini, R. Navigli Data: http://wibitaxonomy.org Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Flatietal.pdf

A Robust Approach to Aligning Heterogeneous Lexical Resources M. T. Pilehvar, R. Navigli Data: http://lcl.uniroma1.it/semalign Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_Pilehvar_Navigli.pdf

Validating and Extending Semantic Knowledge Bases using Video Games with a Purpose D. Vannella, D. Jurgens, D. Scarfini, D. Toscani, R. Navigli Demo: http://lcl.uniroma1.it/games

WoSIT: A Word Sense Induction Toolkit for Search Result Clustering and Diversification D. Vannella, T. Flati, R. Navigli Data and demo: http://lcl.uniroma1.it/wosit/ Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2014_WoSIT.pdf

Entity Linking meets Word Sense Disambiguation: a Unified Approach A. Moro, A. Raganato, R. Navigli Demo and API: http://babelfy.org Paper: http://wwwusers.di.uniroma1.it/~navigli/pubs/TACL_2014_Babelfy.pdf

A chance-corrected metric of inter-annotator agreement for syntax A. Skjærholt Code and data: https://github.com/arnsholt/syn-agreement

A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detection Lu Wang, Claire Cardie Data: https://ssli.ee.washington.edu/tial/projects/SCIL.html

Be Appropriate and Funny: Automatic Entity Morph Encoding Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han and Bulent Yener Paper: http://nlp.cs.rpi.edu/paper/morphencoding.pdf Data: http://nlp.cs.rpi.edu/data/morphencoding.tar.gz

Pattern Dictionary of English Prepositions Ken Litkowski Paper: http://69.195.124.161/~aclwebor/anthology//P/P14/P14-1120.pdf Data: http://www.clres.com/db/TPPEditor.html and http://www.clres.com/pdep.html

Mutual Disambiguation for Entity Linking Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis, Michel Gagnon Paper: http://aclanthology.info/papers/mutual-disambiguation-for-entity-linking Code: https://code.google.com/p/semlinker/

Zero-shot Entity Extraction from Web Pages Panupong Pasupat and Percy Liang Paper: http://aclanthology.info/papers/zero-shot-entity-extraction-from-web-pages Code and data: http://www-nlp.stanford.edu/software/web-entity-extractor-ACL2014/paper/www/index.html

Temporal Annotation in the Clinical Domain William Styler, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C. Goren, Brad Erickson, Timothy Miller, Chen Lin, Guergana Savova, and James Pustejoysky Paper: http://www.transacl.org/wp-content/uploads/2014/04/47.pdf Project: http://thyme.healthnlp.org Other tools mentioned: https://code.google.com/p/cleartk/ https://github.com/weitechen/anafora

Experiments with crowdsourced re-annotation of a POS tagging data set Dirk Hovy, Barbara Plank and Anders Søgaard Paper: http://anthology.aclweb.org//P/P14/P14-2062.pdf Other tools mentioned: MACE (Multi-Annotator Competence Estimation) http://www.isi.edu/publications/licensed-sw/mace/

Robust Entity Clustering via Phylogenetic Inference Nicholas Andrews, Jason Eisner, Mark Dredze Paper: http://www.aclweb.org/anthology/P14-1073 Code: (not live yet though?) https://bitbucket.org/noandrews/

Fast and Robust Neural Network Joint Models for Statistical Machine Translation Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard Schwartz, John Makhoul Paper: http://www.aclweb.org/anthology/P14-1129 Replicated code - Neural Probabilistic Language Model Toolkit: http://nlg.isi.edu/software/nplm/

Low-Rank Tensors for Scoring Dependency Structures Tao Lei, Yu Xin, Yuan Zhang, Regina Barzilay, Tommi Jaakkola Paper: http://www.aclweb.org/anthology/P14-1130 Code: https://github.com/taolei87/RBGParser

A Discriminative Graph-Based Parser for the Abstract Meaning Representation Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, Chris Dyer and Noah A. Smith Paper: http://www.aclweb.org/anthology/P/P14/P14-1134 Code: https://github.com/jflanigan/jamr

kLogNLP: Graph Kernel-based Relational Learning of Natural Language Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt Paper: http://aclweb.org/anthology/P14-5015 Code: http://dtai.cs.kuleuven.be/klognlp

Translation Assistance by Translation of L1 Fragments in an L2 Context Maarten van Gompel and Antal van den Bosch Paper: http://aclweb.org/anthology/P14-1082 Code: https://github.com/proycon/colibrita

An Annotation Framework for Dense Event Ordering Taylor Cassidy, Bill McDowell, Nathanael Chambers, Steven Bethard Paper: http://aclweb.org/anthology/P14-2082 Code: https://github.com/nchambers/caevo

DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments Nicolai Erbs, Pedro Bispo Santos, Iryna Gurevych, and Torsten Zesch Paper: http://acl2014.org/acl2014/P14-5/pdf/P14-5006.pdf Code: https://code.google.com/p/dkpro-keyphrases/

Low Resource Semantic Role Labeling Matthew R. Gormley; Margaret Mitchell; Benjamin Van Durme; Mark Dredze Paper: http://aclweb.org/anthology/P14-1111 Code: http://www.cs.jhu.edu/~mrg/software/

Adaptive Quality Estimation for Machine Translation Marco Turchi, Antonios Anastasopoulos, José Guilherme Camargo de Souza and Matteo Negri Paper: http://acl2014.org/acl2014/P14-1/pdf/P14-1067.pdf Code: http://hlt.fbk.eu/technologies/aqet

How much do word embeddings encode about syntax? Jacob Andreas & Dan Klein Paper: http://www.cs.berkeley.edu/~jda/papers/ak_syntax_embeddings.pdf Code: http://www.cs.berkeley.edu/~jda/code/dense-parser.tar.gz

From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions Peter Young, Alice Lai, Micah Hodosh, Julia Hockenmaier Paper: http://anthology.aclweb.org/Q/Q14/Q14-1006.pdf Data: http://nlp.cs.illinois.edu/Denotation.html

Humans Require Context to Infer Ironic Intent (so Computers Probably do, too) Byron C. Wallace, Do Kook Choe, Laura Kertz and Eugene Charniak Paper: http://anthology.aclweb.org//P/P14/P14-2084.pdf Data: https://github.com/bwallace/ACL-2014-irony

Lexical Inference over Multi-Word Predicates: A Distributional Approach Omri Abend, Shay B. Cohen and Mark Steedman Paper: http://homepages.inf.ed.ac.uk/oabend/papers/mwpreds.pdf Code: http://homepages.inf.ed.ac.uk/oabend/mwpreds.html

Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features Anders Björkelund and Jonas Kuhn Paper: http://aclweb.org/anthology/P14-1005 Code: http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/HOTCoref.en.html

• • • Demo ***

Simplified Dependency Annotations with GFL-Web Michael Mordowanec, Nathan Schneider, Chris Dyer, Noah A. Smith Paper: http://aclweb.org/anthology/P14-5021 Tool, code, & demo: http://www.ark.cs.cmu.edu/FUDG/

Visualization, Search, and Error Analysis for Coreference Annotations Markus Gärtner, Anders Björkelund, Gregor Thiele, Wolfgang Seeker, and Jonas Kuhn Paper: http://aclweb.org/anthology/P14-5002 Code: http://www.ims.uni-stuttgart.de/forschung/ressourcen/werkzeuge/icarus.en.html

• • • TACL ***

Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut Nathan Schneider, Emily Danchik, Chris Dyer, Noah A. Smith Paper: http://www.transacl.org/wp-content/uploads/2014/04/51.pdf Data, system, & code: http://www.ark.cs.cmu.edu/LexSem/

• • • CoNLL ***

Grounding language with points and paths in continuous spaces Jacob Andreas & Dan Klein Paper: http://www.cs.berkeley.edu/~jda/papers/ak_paths.pdf Code: http://www.cs.berkeley.edu/~jda/code/ak_paths.tar.gz

Is It All in the Phrasing? Computational Explorations in How We Say What We Say, and Why It Matters (from Workshop 10: Language Technologies and Computational Social Science) Invited talk by Lillian Lee Datasets: http://www.cs.cornell.edu/home/llee/data/

Aikuma: A Mobile App for Collaborative Language Documentation Steven Bird, Florian R. Hanke, Oliver Adams and Haejoong Lee, Workshop on the Use of Computational Methods in the Study of Endangered Languages Paper: http://anthology.aclweb.org//W/W14/W14-2201.pdf Code: https://github.com/langtech/aikuma

Dynamic Wordclouds and Vennclouds Glen Smith and Erin Kelly Paper: http://acl2014.org/acl2014/W14-31/pdf/W14-3103.pdf Code: https://github.com/coppersmith/vennclouds

Response-based Learning for Grounded Machine Translation Stefan Riezler, Patrick Simianer, Carolin Haas Paper: http://69.195.124.161/~aclwebor/anthology//P/P14/P14-1083.pdf Code: https://github.com/pks/rebol

Learning from MOTHs Invited Talk by Chris Culy Code: http://www.sfs.uni-tuebingen.de/~cculy/index_research.html

Unsupervised Alignment of Privacy Policies using Hidden Markov Models Rohan Ramanath, Fei Liu, Norman Sadeh, Noah A Smith Paper : http://www.cs.cmu.edu/~nasmith/papers/ramanath+liu+sadeh+smith.acl14.pdf Data: http://www.usableprivacy.org/data

SeedLing: Building and Using a Seed corpus for the Human Language Project Guy Emerson; Liling Tan; Susanne Fertmann; Alexis Palmer; Michaela Regneri Paper: http://69.195.124.161/~aclwebor/anthology//W/W14/W14-2211.pdf Code/Data: https://github.com/alvations/SeedLing (Plaintext corpus for >1000 languages with python API)