نتایج جستجو برای: textual level

تعداد نتایج: 1099016  

2013
Han Ren Hongmiao Wu Chen Lv Dong-Hong Ji Jing Wan

This paper describes our system of recognizing textual entailment for RITE Traditional and Simplified Chinese subtasks at NTCIR10. We build a textual entailment recognition framework and implement a system that employs features of three categories, including string, structure and linguistic features, for the recognition. In addition, an entailment transformation approach is leveraged to align t...

2014
Weilin Ye Xinghua Fan

This paper presents an approach to emotion recognition from speech signals and textual content. In the analysis of speech signals, thirty-seven acoustic features are extracted from the speech input. Two different classifiers Support Vector Machines (SVMs) and BP neural network are adopted to classify the emotional states. In text analysis, we use the two-step classification method to recognize ...

2006
Mats Sjöberg Jorma Laaksonen Matti Pöllä Timo Honkela

We propose a method of content-based multimedia retrieval of objects with visual, aural and textual properties. In our method, training examples of objects belonging to a specific semantic class are associated with their low-level visual descriptors (such as MPEG-7) and textual features such as frequencies of significant keywords. A fuzzy mapping of a semantic class in the training set to a cla...

2014
Abhay L. Kashyap Lushan Han Roberto Yus Jennifer Sleeman Taneeya Satyapanich Sunil Gandhi Timothy W. Finin

We describe UMBC’s systems developed for the SemEval 2014 tasks on Multilingual Semantic Textual Similarity (Task 10) and Cross-Level Semantic Similarity (Task 3). Our best submission in the Multilingual task ranked second in both English and Spanish subtasks using an unsupervised approach. Our best systems for Cross-Level task ranked second in Paragraph-Sentence and first in both Sentence-Phra...

2016
Nicholas Beauchamp

Spatially or temporally dense polling remains both difficult and expensive using existing survey methods. In response, there have been increasing efforts to approximate various survey measures using social media, but most of these approaches remain methodologically flawed. To remedy these flaws, this paper combines 1200 state-level polls during the 2012 presidential campaign with over 100 milli...

2013
Nick Beauchamp

Presidential, gubernatorial, and senatorial elections all require state-level polling, but continuous real-time polling of every state during a campaign remains prohibitively expensive, and quite neglected for less competitive states. This paper employs a new dataset of over 500GB of politics-related Tweets from the final months of the 2012 presidential campaign to interpolate and predict state...

2008
Danilo Giampiccolo Hoa Trang Dang Bernardo Magnini Ido Dagan Elena Cabrio William B. Dolan

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...

2005
Jesús Herrera Anselmo Peñas M. Felisa Verdejo

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.

2013
Maytham Alabbas

There are fewer resources for textual entailment (TE) for Arabic than for other languages, and the manpower for constructing such a resource is hard to come by. We describe here a semi-automatic technique for creating a first dataset for TE systems for Arabic using an extension of the ‘headline-lead paragraph’ technique. We also sketch the difficulties inherent in volunteer annotators-based jud...

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