SemEval 2007

This system uses a background knowledge base to identify semantic relations between base noun phrases in English text, as eva- luated in SemEval 2007, Task 4. Training data for each …...

In this paper, we present a system for Ara- bic semantic role labeling (SRL) based on SVMs and standard features. The system is evaluated on the released SEMEVAL 2007 development …...

This paper investigates the task of noun compound interpretation, building on the sense collocation approach proposed by Moldovan et al. (2004). Our primary task is to evaluate the impact of …...

Entity disambiguation resolves the many- to-many correspondence between mentions of entities in text and unique real-world en- tities. Fair Isaac’s entity disambiguation uses language-independent entity context to agglomeratively resolve mentions …...

This paper describes the HIT system and its participation in SemEval-2007 English Lexical Substitution Task. Two main steps are included in our method: candidate sub- stitute extraction and candidate scoring. …...

This paper presents an Extended WordNet based word sense disambiguation system using a major modification to the Lesk al- gorithm. The algorithm tries to disambigu- ate nouns, verbs and adjectives. …...

This paper describes a maxent-based prepo- sition sense disambiguation system entry to the preposition sense disambiguation task of the SemEval 2007. This system uses a wide variety of semantic and …...

This paper describes an exponential family model of word sense which captures both occurrences and co-occurrences of words and senses in a joint probability distribution. This statistical framework lends itself …...

We present a simple, two-steps supervised strategy for the identification and classifica- tion of thematic roles in natural language texts. We employ no external source of in- formation but automatic …...

We provide an overview of the metonymy resolution shared task organised within SemEval-2007. We describe the problem, the data provided to participants, and the evaluation measures we used to assess …...

This paper presents the task definition, re- sources, participation, and comparative re- sults for the Web People Search task, which was organized as part of the SemEval-2007 evaluation exercise. This …...

In this paper we describe an unsuper- vised WordNet-based Word Sense Disam- biguation system, which participated (as UMND1) in the SemEval-2007 Coarse- grained English Lexical Sample task. The system disambiguates …...

This paper describes the University of Syd- ney’s WSD and Lexical Substitution sys- tems for SemEval-2007. These systems are principally based on evaluating the substi- tutability of potential synonyms in …...

This paper presents a supervised method for resolving metonymies. We enhance a commonly used feature set with fea- tures extracted based on collocation in- formation from corpora, generalized us- ing …...

AbstractLexical substitution is the task of finding a replacement for a target word in a sentence so as to preserve, as closely as possible, the meaning of the original sentence. …...

We identify some problems of the evaluation metrics used for the English Lexical Substitu- tion Task of SemEval-2007, and propose al- ternative metrics that avoid these problems, which we hope …...

AbstractNowadays, social media have become a platform where people can easily express their opinions and emotions about any topic such as politics, movies, music, electronic products and many others. On …...