There has been considerable increase of interest recently among theoretical linguists in empirical data that go beyond intuitive judgements on grammaticality and meaning of linguistic expressions. This concerns, among other areas, data resulting from experiments during which subjects carry out various linguistic or non-linguistic tasks that are somehow connected with the production or comprehen...

Knowledge Base Population (KBP) is an evaluation track of the Text Analysis Conference (TAC), a workshop series organized by the National Institute of Standards and Technology (NIST). In 2013, the KBP evaluations included five tasks targeting information extraction and question answering technologies: Entity Linking, Slot Filling, Temporal Slot Filling, Sentiment Slot Filling, and Cold Start. T...

To advance information extraction and question answering technologies toward a more realistic path, the U.S. NIST (National Institute of Standards and Technology) initiated the KBP (Knowledge Base Population) task as one of the TAC (Text Analysis Conference) evaluation tracks. It aims to encourage research in automatic information extraction of named entities from unstructured texts with the ul...

In the past, NLP has always been based on the explicit or implicit use of linguistic knowledge. In classical computer linguistic applications explicit rule based approaches prevail, while machine learning algorithms use implicit knowledge for generating linguistic knowledge. The question behind this work is: how far can we go in NLP without assuming explicit or implicit linguistic knowledge? Ho...

The work in this paper is based on the claim that collaborative dialogue involves taking into account how much information an utterance conveys, in the sense that it thereby shows how it is connected to the linguistic and extra-linguistic context shared by speaker and hearer, by system and human user. I introduce a notion of information enrichment to handle this phenomenon, and discuss informat...

• Linguistic: induce semantic frame and syntactic dependency-based patterns that aim to capture the meaning of a sentence and use them as features • Extra-linguistic: improve the classification of a test post by exploiting the information in other test posts that are likely to have the same stance Aim: improve a learner’s ability to generalize by inducing patterns based on semantic frames and u...

This paper attempts to present innovations brought into corpus methodology by using the concept of paraphrase to account for the meaning of lexical items. Collaborative knowledge building is conceived of not merely the individual introduction of paraphrases discussing the features of the discourse objects but continuous subsequent negotiation of this input over a temporal arrow. With proposal o...

the study of the meaning is the oldest intellectual concerns of human over time and in various cultures and civilizations. the meaning have occupid the chiness and indian thinkers and philosophers of the greeks and romans during centuries. the arab and muslim linguists and others mostly shared in study of many issues related to meaning of the words. arab’s linguistic research has focus on deter...

In this position paper, I argue that in order to create truly language-independent NLP systems, we need to incorporate linguistic knowledge. The linguistic knowledge in question is not intricate rule systems, but generalizations from linguistic typology about the range of variation in linguistic structures across languages.

The breadth and depth of ESL learners’ vocabulary knowledge and their comprehensive linguistic competence are not well studied in current literatures on vocabulary studies. This paper explores the creditability of depth and breadth of ESL learners’ vocabulary knowledge as an indicator of their overall linguistic competence and the correlation between depth and breadth of ESL learners’ vocabular...