Notes from ACL

This is the kind of post that would not interest anyone else except me perhaps. I was at ACL (in a very interesting city called Sofia, the capital of Bulgaria) last week and I am still in the process of making some notes on the papers that interested me, abstracts that raised my curiosity, short and long term interest topics etc. I thought its probably a better idea to arrange atleast the titles in some subgroups and save somewhere so that it would be easy for me to get back later. I did not read all of them completely. Infact, for a few of them, I did not even go beyond the abstract. So, don’t ask me questions. Anyone who is interested in any of these titles can either read them by googling for them or visit the ACL anthology page for ACL’13 and find the pdfs there.

The first two sections below are my current topics of interest. The third one is a general topic of interest. The fourth one includes everything else…that piqued my interest. Fifth section is on teaching CL/NLP…which is also a long term interest topic for me. The final section is about workshops as a whole that I have interest in.

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Various dimensions of the notion of text difficulty, readability
* Automatically predicting sentence translation difficulty – Mishra and Bhattacharya
* Automatic detection of deception in child produced speech using syntactic complexity features – Yancheva and Rudzicz
* Simple, readable sub sentences – Klerke and Sogaard
* Improving text simplification language modeling using Unsimplified text data – Kauchak
* Typesetting for improved readability using lexical and syntactic information – Salama et.al.
* What makes writing great?: First experiments on Article quality prediction in the science journalism domain, Louis and Nenkova
* Word surprisal predicts N400 amplitude during reading – Frank et.al.
* An analysis of memory based processing costs using incremental deep syntactic dependency parsing – Schjindel et.al.

Language Learning, Assessment etc.
* Discriminative Approach to fill-in-the-blank quiz generation for language learners
* Modeling child divergences from Adult Grammar with Automatic Error Correction
* Automated collocation suggestion for Japanese second language learners
* Reconstructing an Indo-European family tree from non-native English texts
* Word association profiles and their use for automated scoring of essays -Klebanov and Flor.
* Grammatical error correction using Integer Linear programming
* A learner corpus based approach to verb suggestion for ESL
* Modeling thesis clarity in student essays – Persing & Ng
* Computerized analysis of a verbal fluency test – Szumlanski et.al.
* Exploring word class n-grams to measure language development in children. Ramirez-de-la-Rosa et.al.

NLP for other languages:
* Sorani Kurdish versus Kurmanji Kurdish: An Empirical Comparison – Esmaili and Salavati
* Identifying English and Hungarian light verb constructions: A contrastive approach – Vincze et.al
* Real-world semi-supervised learning of POS taggers for low-resource languages -Garrette et.al.
* Learning to lemmatize Polish noun phrases – Radziszewski
* Sentence level dialect identification in Arabic – Elfardy and Diab

Others:
* Exploring Word Order Universals: a probabilisitic graphical model approach – Xia Lu.
* An opensource toolkit for quantitative historical linguists
* SORT: An improved source rewriting tool for improved translation
* unsupervised consonant-vowel prediction over hundreds of languages
* Linguistic models for analyzing and detecting biased language.
* Earlier identification of Epilepsy surgery candidates using natural language processing – Matykiewicz et.al.
* Parallels between linguistics and biology. Chakraborti and Tendulkar
* Analysing lexical consistency in translation – Guillou
* Associative texture is lost in translation – Klebanov and Flor

Teaching CL, NLP:
* Artificial IntelliDance: Teaching Machine learning through choreography, Agarwal and Trainor
* Treebanking for data-driven research in the classroom, Lee et.al.
* Learning computational linguistics through NLP evaluation events: the experience of Russian evaluation initiative. Bonch-Osmolovskaya et.al.
* Teaching the basics of NLP and ML in an introductory course to Information Science. Agarwal.

whole workshops and competitions:
* Shared task on quality estimation in Machine translation
* Predicting and improving textual readability for target reader populations (PITR 2013)

Published in: on August 14, 2013 at 9:09 am  Leave a Comment  
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