Notes from EACL2014

(This is a note taking post. It may not be of particular interest to anyone)

***

I was at EACL 2014 this week, in Gothenburg, Sweden. I am yet to give a detailed reading to most of the papers that interested me, but I thought its a good idea to list down things.

I attended the PITR workshop and noticed that there are more number of interested people both in the authors and audience compared to last year. Despite the inconclusive panel discussion, I found the whole event interesting and stimulating primarily because of the diversity of topics presented. There seems to be an increasing interest in performing eye-tracking experiments for this task. Some papers that particularly interested me:

One Step Closer to Automatic Evaluation of Text Simplification Systems by Sanja Štajner, Ruslan Mitkov and Horacio Saggion

An eye-tracking evaluation of some parser complexity metrics – Matthew J. Green

Syntactic Sentence Simplification for FrenchLaetitia Brouwers, Delphine Bernhard, Anne-Laure Ligozat and Thomas Francois

An Open Corpus of Everyday Documents for Simplification TasksDavid Pellow and Maxine Eskenazi

An evaluation of syntactic simplification rules for people with autism – Richard Evans, Constantin Orasan and Iustin Dornescu

(If anyone came till here and is interested in any of these papers, they are all open-access and can be found online by searching with the name)

 

Moving on to the main conference papers,  I am listing here everything that piqued my interest, right from papers I know only by titles for the moment to those for which I heard the authors talk about the work.

Parsing, Machine Translation etc.,

* Is Machine Translation Getting Better over Time? – Yvette Graham; Timothy Baldwin; Alistair Moffat; Justin Zobel

* Improving Dependency Parsers using Combinatory Categorial Grammar-Bharat Ram Ambati; Tejaswini Deoskar; Mark Steedman

* Generalizing a Strongly Lexicalized Parser using Unlabeled Data- Tejaswini Deoskar; Christos Christodoulopoulos; Alexandra Birch; Mark Steedman

* Special Techniques for Constituent Parsing of Morphologically Rich Languages – Zsolt Szántó; Richárd Farkas

* The New Thot Toolkit for Fully-Automatic and Interactive Statistical Machine Translation- Daniel Ortiz-Martínez; Francisco Casacuberta

* Joint Morphological and Syntactic Analysis for Richly Inflected Languages – Bernd Bohnet, Joakim Nivre, Igor Bogulavsky, Richard Farkas, Filip Ginter and Jan Hajic

* Fast and Accurate Unlexicalized parsing via Structural Annotations – Maximilian Schlund, Michael Luttenberger and Javier Esparza

Information Retrieval, Extraction stuff:

* Temporal Text Ranking and Automatic Dating of Text – Vlad Niculae; Marcos Zampieri; Liviu Dinu; Alina Maria Ciobanu

* Easy Web Search Results Clustering: When Baselines Can Reach State-of-the-Art Algorithms – Jose G. Moreno; Gaël Dias

Others:

* Now We Stronger than Ever: African-American English Syntax in Twitter- Ian Stewart

* Chinese Native Language Identification – Shervin Malmasi and Mark Dras

* Data-driven language transfer hypotheses – Ben Swanson and Eugene Charniak

* Enhancing Authorship Attribution by utilizing syntax tree profiles – Michael Tschuggnall and Günter Specht

* Machine reading tea leaves: Automatically Evaluating Topic Coherence and Topic model quality by Jey Han Lau, David Newman and Timothy Baldwin

* Identifying fake Amazon reviews as learning from crowds – Tommaso Fornaciari and Massimo Poesio

* Using idiolects and sociolects to improve word predictions – Wessel Stoop and Antal van den Bosch

* Expanding the range of automatic emotion detection in microblogging text – Jasy Suet Yan Liew

* Answering List Questions using Web as Corpus – Patricia Gonçalves; Antonio Branco

* Modeling unexpectedness for irony detection in twitter – Francesco Barbieri and Horacio Saggion

* SPARSAR: An Expressive Poetry reader – Rodolfo Delmonte and Anton Maria Prati

* Redundancy detection in ESL writings – Huichao Xue and Rebecca Hwa

* Hybrid text simplification using synchronous dependency grammars with hand-written and automatically harvested rules – Advaith Siddharthan and Angrosh Mandya

* Verbose, Laconic or Just Right: A Simple Computational Model of Content Appropriateness under length constraints – Annie Louis and Ani Nenkova

* Automatic Detection and Language Identification of Multilingual Document – Marco Lui, Jey Han Lau and Timothy Baldwin

Now, in the coming days, I should atleast try to read the intros and conclusions of some of these papers.🙂

Published in: on May 2, 2014 at 3:10 pm  Leave a Comment  
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