Add to ORKGEMNLP 2011 Workshop on Textual Entailment (TextInfer).Reasoning about ordinary human situations and activities requires the availability of diverse types of knowledge, including expectations about the probable results of actions and the lexical entailments for many predicates. We describe initial work to acquire such a collection of conditional (if–then) knowledge by exploiting presuppositional discourse patterns (such as ones involving ‘but’, ‘yet’, and ‘hoping to’) and abstracting the matched material into general rules
Entailment is defined as recognizing, given two text fragments, whether the meaning of one text can ...
We present the architecture and the evaluation of a new system for recognizing textual entailment (R...
This paper proposes a new architecture for textual inference in which finding a good alignment is se...
Reasoning about ordinary human situations and activities requires the availability of diverse types ...
Reasoning about ordinary human situations and activities requires the availability of diverse types ...
In this paper, we construct a truth conditional semantics for generic sentences, which treats arbitr...
Recognizing Text Entailment (RTE) plays an important role in NLP applications in-cluding question an...
In this paper, we explore the application of inference rules for recogniz-ing textual entailment (RT...
In this paper, we explore ways of improv-ing an inference rule collection and its ap-plication to th...
Event entailment is knowledge that may prove useful for a variety of applications dealing with infer...
We present ATOMIC, an atlas of everyday commonsense reasoning, organized through 877k textual descri...
The goal of identifying textual entailment – whether one piece of text can be plausibly inferred fr...
One of the challenges in recognising textual entailment (RTE) with logical inference is the lack of ...
ii This thesis introduces the applied notion of textual entailment as a generic empiri-cal task that...
We extend the expressivity of classical conditional reasoning by introducing context as a new parame...
Entailment is defined as recognizing, given two text fragments, whether the meaning of one text can ...
We present the architecture and the evaluation of a new system for recognizing textual entailment (R...
This paper proposes a new architecture for textual inference in which finding a good alignment is se...
Reasoning about ordinary human situations and activities requires the availability of diverse types ...
Reasoning about ordinary human situations and activities requires the availability of diverse types ...
In this paper, we construct a truth conditional semantics for generic sentences, which treats arbitr...
Recognizing Text Entailment (RTE) plays an important role in NLP applications in-cluding question an...
In this paper, we explore the application of inference rules for recogniz-ing textual entailment (RT...
In this paper, we explore ways of improv-ing an inference rule collection and its ap-plication to th...
Event entailment is knowledge that may prove useful for a variety of applications dealing with infer...
We present ATOMIC, an atlas of everyday commonsense reasoning, organized through 877k textual descri...
The goal of identifying textual entailment – whether one piece of text can be plausibly inferred fr...
One of the challenges in recognising textual entailment (RTE) with logical inference is the lack of ...
ii This thesis introduces the applied notion of textual entailment as a generic empiri-cal task that...
We extend the expressivity of classical conditional reasoning by introducing context as a new parame...
Entailment is defined as recognizing, given two text fragments, whether the meaning of one text can ...
We present the architecture and the evaluation of a new system for recognizing textual entailment (R...
This paper proposes a new architecture for textual inference in which finding a good alignment is se...