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COLING
2010
13 years 6 months ago
Boosting Relation Extraction with Limited Closed-World Knowledge
This paper presents a new approach to improving relation extraction based on minimally supervised learning. By adding some limited closed-world knowledge for confidence estimation...
Feiyu Xu, Hans Uszkoreit, Sebastian Krause, Hong L...
COLING
2010
13 years 6 months ago
Automatic Temporal Expression Normalization with Reference Time Dynamic-Choosing
Temporal expressions in texts contain significant temporal information. Understanding temporal information is very useful in many NLP applications, such as information extraction,...
Xujian Zhao, Peiquan Jin, Lihua Yue
COLING
2010
13 years 6 months ago
Notes on the Evaluation of Dependency Parsers Obtained Through Cross-Lingual Projection
In this paper we address methodological issues in the evaluation of a projectionbased framework for dependency parsing in which annotations for a source language are transfered to...
Kathrin Spreyer
COLING
2010
13 years 6 months ago
Exploiting Paraphrases and Deferred Sense Commitment to Interpret Questions more Reliably
Creating correct, semantic representations of questions is essential for applications that can use formal reasoning to answer them. However, even within a restricted domain, it is...
Peter Clark, Philip Harrison
COLING
2010
13 years 6 months ago
Extracting and Ranking Product Features in Opinion Documents
An important task of opinion mining is to extract people's opinions on features of an entity. For example, the sentence, "I love the GPS function of Motorola Droid"...
Lei Zhang, Bing Liu, Suk Hwan Lim, Eamonn O'Brien-...
COLING
2010
13 years 6 months ago
Dependency-Based Bracketing Transduction Grammar for Statistical Machine Translation
In this paper, we propose a novel dependency-based bracketing transduction grammar for statistical machine translation, which converts a source sentence into a target dependency t...
Jinsong Su, Yang Liu, Haitao Mi, Hongmei Zhao, Yaj...
COLING
2010
13 years 6 months ago
Kernel-based Reranking for Named-Entity Extraction
We present novel kernels based on structured and unstructured features for reranking the N-best hypotheses of conditional random fields (CRFs) applied to entity extraction. The fo...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...
COLING
2010
13 years 6 months ago
Enhanced Sentiment Learning Using Twitter Hashtags and Smileys
Automated identification of diverse sentiment types can be beneficial for many NLP systems such as review summarization and public media analysis. In some of these systems there i...
Dmitry Davidov, Oren Tsur, Ari Rappoport
COLING
2010
13 years 6 months ago
Learning to Annotate Scientific Publications
Annotating scientific publications with keywords and phrases is of great importance to searching, indexing, and cataloging such documents. Unlike previous studies that focused on ...
Minlie Huang, Zhiyong Lu