The present research focuses on analyzing and detecting emotions in speech as revealed by task-dependent spoken dialogs corpora. Previously, we have conducted several experiments on a real-life corpus in order to develop a reliable annotation method and to detect lexical and prosodic cues correlated to the main emotion class. In this paper we evaluate both the robustness of the annotation schem...

This paper describes our efforts to create a Unified Lexicon by extracting information from a variety of external resources, namely our XLE syntactic lexicon, WordNet, Cyc, and VerbNet. The UL is built in several steps: first the information is extracted from the resources; then it is merged into lexical entries based on word stem, syntactic subcategorization frame, meaning concept, and WordNet...

In recent minimalist approaches to acquisition, there has been an increasing emphasis on the importance of the lexicon in accounts of syntactic variation. This paper extends the view of lexical feature assembly and reassembly articulated by Lardiere into the open-class lexicon and into the realm of motion events. An original L1 experiment reveals that variation in the syntax of motion events wi...

We present a method for populating fine-grained classes (e.g., “1950s American jazz musicians”) with instances (e.g., Charles Mingus). While stateof-the-art methods tend to treat class labels as single lexical units, the proposed method considers each of the individual modifiers in the class label relative to the head. An evaluation on the task of reconstructing Wikipedia category pages demonst...

This paper describes our work in NTCIR-11 on RITE-VAL System Validation task in Simplified Chinese including Binary-class (BC) subtask and Multi-class (MC) subtask. We construct the classification model based on support vector machine to recognize semantic inference in Chinese text pair. In our system, we use multiple features including statistical features, lexical features and syntactic featu...

ABSTRACT This paper describes our work in NTCIR-10 on RITE-2 Binary-class (BC) subtask and Multi-class (MC) subtask in Simplified Chinese. We construct the classification model based on support vector machine to recognize semantic inference in Chinese text pair, including entailment and non-entailment for BC subtask and forward entailment, bidirectional entailment, contradiction and independenc...

Schema matching is the problem of finding relationships among concepts across heterogeneous data sources that are heterogeneous in format and in structure. Starting from the “hidden meaning” associated with schema labels (i.e. class/attribute names) it is possible to discover relationships among the elements of different schemata. Lexical annotation (i.e. annotation w.r.t. a thesaurus/lexical r...

The annotation of large corpora is usually restricted to syntactic structure and word class. Pure lexical information and information on the structure of words are stored in specialized dictionaries (Baayen et al., 1995). Both data structures – dictionary and text corpus – can be matched to get e.g. a distribution of certain (restricted) lexical information from a text. This procedure works fin...

Study of meronymy in a distribution-based lexical resource In this paper, we study the way meronymy behaves in a distribution-based lexical resource. We address the question of the evaluation of such resources through a semantic-based approach. Our method consists in collecting meronyms from a resource which we cross with a distributionbased lexical resource made from an encyclopedic corpus. Me...

A b s t r a c t In this paper we discuss the results of experiments which use a context, essentially an ordered set of lexical items, as the seed from which to build a network representing statistically important relationships among lexical items in some corpus. A metric is then applied to the nodes in the network in order to discover those pairs of items related by high indices of similarity. ...