This paper compares language modeling techniques for dialog act segmentation of multiparty meetings. The evaluation is twofold; we search for a convenient representation of textual information and an efficient modeling approach. The textual features capture word identities, parts-of-speech, and automatically induced classes. The models under examination include hidden event language models, max...

In the logic approach to Recognizing Textual Entailment, identifying phrase-tophrase semantic relations is still an unsolved problem. Resources such as the Paraphrase Database offer limited coverage despite their large size whereas unsupervised distributional models of meaning often fail to recognize phrasal entailments. We propose to map phrases to their visual denotations and compare their me...

This article presents an experimental evaluation on using a refined approach to the Latent Semantic Analysis (LSA) for efficiently searching very large image databases. It also describes IPL’s participation to the image CLEF ad-hoc textual and visual retrieval as well as modality classification for the Medical Task in 2013. We report on our approaches and methods and present the results of our ...

This paper presents a machine-learning approach for the recognition of textual entailment. For our approach we model lexical and semantic features. We study the effect of stacking and voting joint classifier combination techniques which boost the final performance of the system. In an exhaustive experimental evaluation, the performance of the developed approach is measured. The obtained results...

This paper shows a Recognizing Textual Entailment System, and a sub-system that address the Textual Entailment Search Task. This system employs a Support Vector Machine classifier with a set of 32 features, which includes lexical and semantic similarity for both two-way and three-way classification tasks. Additionally, we show an approach to dealing with the problem of searching entailment in a...

We present ExB Themis – a word alignmentbased semantic textual similarity system developed for SemEval-2015 Task 2: Semantic Textual Similarity. It combines both string and semantic similarity measures as well as alignment features using Support Vector Regression. It occupies the first three places on Spanish data and additionally places second on English data. ExB Themis proved to be the best ...

abstract as literary texts have different layers, they are open to various political, social and cultural interpretations and readings. the main purpose of orators is to persuade their audience.thus, orators must be familiar with intra-textual factors (residing inside language) and situational factors (residing outside language), such as social, political, and cultural factors, in order to be a...

asadi’s shahnameh is a great epic consisting of twenty-four thousand distiches and is attributed to asadi or another poet of the same nickname. this work was created in the same line of development as ferdowsi’s shahnameh. the main theme is the old campaign of soleymān to iran to confront with rostam and keykhosrow and to repeat the pattern of rostam’s battles with his children in a state of an...

In 2008 the Recognizing Textual Entailment Challenge (RTE-4) was proposed for the first time as a track at the Text Analysis Conference (TAC). Another important innovation introduced in this campaign was a three-judgment task, which required the systems to make a further distinction between pairs where the entailment does not hold because the content of H is contradicted by the content of T, an...

After defining what is understood by textual entailment and semantic equivalence, the present state and the desirable future of the systems aimed at recognizing them is shown. A compilation of the currently implemented techniques in the main Recognizing Textual Entailment and Semantic Equivalence systems is given.