Convolution tree kernel has shown promising results in semantic role classification. However, it only carries out hard matching, which may lead to over-fitting and less accurate s...
Min Zhang, Wanxiang Che, AiTi Aw, Chew Lim Tan, Gu...
In morphologically rich languages such as Arabic, the abundance of word forms resulting from increased morpheme combinations is significantly greater than for languages with fewer...
The amount of documents directly published by end users is increasing along with the growth of Web 2.0. Such documents often contain spoken-style expressions, which are difficult...
Many applications in NLP, such as questionanswering and summarization, either require or would greatly benefit from the knowledge of when an event occurred. Creating an effective ...
This paper presents a system capable of automatically acquiring subcategorization frames (SCFs) for French verbs from the analysis of large corpora. We applied the system to a lar...
This paper describes a new method for computing lexical chains. These are sequences of semantically related words that reflect a text’s cohesive structure. In contrast to previo...
We present the development and tuning of a topic-adapted language model for word prediction, which improves keystroke savings over a comparable baseline. We outline our plans to d...
In this type-II demo, we introduce SIDE1 (the Summarization Integrated Development Environment), an infrastructure that facilitates construction of summaries tailored to the needs...
We describe an application that generates web pages for research institutions by summarising terms extracted from individual researchers' publication titles. Our online demo ...