Structured text retrieval models provide a formal definition or mathematical framework for querying semistructured textual databases. A textual database contains both content and structure. The content is the text itself, and the structure divides the database into separate textual parts and relates those textual parts by some criterion. Often, textual databases can be represented as marked up ...

This paper presents a novel method for discovering causal relations between events encoded in text. In order to determine if two events from the same sentence are in a causal relation or not, we first build a graph representation of the sentence that encodes lexical, syntactic, and semantic information. In a second step, we automatically extract multiple graph patterns (or subgraphs) from such ...

This paper describes recent advances on the Text2Dialogue system we are currently developing. Our system enables automatic transformation of monological text into a dialogue. The dialogue is then “acted out” by virtual agents, using synthetic speech and gestures. In this paper, we focus on the monologue-to-dialogue transformation, and describe how it uses textual coherence relations to map text...

Determining semantic textual similarity is a core research subject in natural language processing. Since vector-based models for sentence representation often use shallow information, capturing accurate semantics is difficult. By contrast, logical semantic representations capture deeper levels of sentence semantics, but their symbolic nature does not offer graded notions of textual similarity. ...

The Two-Way Task: Run1: TAC-M, TS-M, and Tri-BM Run2: TAC-M, TS-M, and BoW-BM Run3: TAC-M, TS-M, NE-M, & Tri-BM, BoW-BM The Three-Way Task: Run1: TAC-M, TS-M, and Tri-BM, BoWBM Run2: TAC-M, TS-M, NE-M (partial), and Tri-BM, BoW-BM Run3: TAC-M, TS-M, NE-M, and Tri-BM, BoW-BM From Two-Way to Three-Way: If BoW-BM=YES & Tri-BM=NO then CONTRADICTION If BoW-BM=YES & Tri-BM=YES then ENTAILMENT Others ...

This paper addresses the problem of analysing textual data for evidence discovery. A novel framework in which to perform evidence discovery is proposed in order to reduce the quantity of data to be analysed, aid the analysts’ exploration of the data and enhance the intelligibility of the presentation of the data. The framework combines information extraction techniques with visual exploration t...

Words are one of the grounds of European languages. Corpora written with these languages are normallydescribe by words. However, extracted information given by words is semantically poor. Actually, totake into account the complexity of European languages are really important. As a result, we propose inthis thesis to feature the characteristic of European languages by using synta...

Recognizing Textual Entailment (RTE) is to detect an important relation between two texts, namely whether one text can be inferred from the other. For natural language processing, especially for natural language understanding, this is a useful and challenging task. We start with an introduction of the notion of textual entailment, and then define the scope of the recognition task. We summarize ...

This study aimed to explore the function and frequency of textual metadiscourse markers (MDMs) in scientific English and Persian texts. Based on the qualitative and quantitative analysis of textual markers characterizing the selected genre, four different textbooks, two written in English and two in Persian were analyzed to identify the textual metadiscourse categories (including logical marker...