[PDF] Top 20 Natural Language Inference with Monotonicity
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Natural Language Inference with Monotonicity
... an inference (or contradiction) the derivations in our system are not so far from a natural language proof of the hypothesis (or its negation) from the ... See full document
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Modeling Semantic Containment and Exclusion in Natural Language Inference
... to natural lan- guage inference based on a model of nat- ural logic, which identifies valid infer- ences by their lexical and syntactic fea- tures, without full semantic ...in natural logic, which ... See full document
8
Compositional Lexical Semantics In Natural Language Inference
... from monotonicity: many of the removed sentences do not negate the noun in question, and many sentences that do indeed negate the noun still pass through our ... See full document
199
Generating Token Level Explanations for Natural Language Inference
... in natural lan- guage processing through both black-box analy- sis, and through modifications to the models un- der investigation; we refer to the latter approaches as ... See full document
7
Gaussian Transformer: A Lightweight Approach for Natural Language Inference
... one-step inference to determine their reasoning relationship, and took the average of multiple soft- max layers as their ...multi-step inference could easily flow to upper ... See full document
8
A Wide Coverage Symbolic Natural Language Inference System
... We present a system for Natural Language Inference which uses a dynamic semantics converter from abstract syntax trees to Coq types. It combines the fine-grainedness of a dynamic semantics system ... See full document
6
A Phrase Based Alignment Model for Natural Language Inference
... The alignment problem—establishing links between corresponding phrases in two related sentences—is as important in natural language inference (NLI) as it is in machine transla- tion (MT). But the ... See full document
10
SherLIiC: A Typed Event Focused Lexical Inference Benchmark for Evaluating Natural Language Inference
... We presented SherLIiC, a new challenging testbed for LIiC and NLI, based on typed textual relations between named entities (NEs) from a KG. The restriction to NEs (as opposed to common nouns) allowed us to harness more ... See full document
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A large annotated corpus for learning natural language inference
... ural language, and inference about entail- ment and contradiction is a valuable test- ing ground for the development of seman- tic ...Stanford Natural Language Inference corpus, a new, ... See full document
11
Posing Fair Generalization Tasks for Natural Language Inference
... This notion of fairness allowed us to rigorously pose the question of whether specific NLI models can learn to do robust natural logic reasoning. For our standard models, the answer is no. For our task-specific ... See full document
11
Natural Language Inference by Tree Based Convolution and Heuristic Matching
... The renewed prosperity of neural networks has made significant achievements in various NLP ap- plications, including individual sentence modeling (Kalchbrenner et al., 2014; Mou et al., 2015) as well as sentence matching ... See full document
7
Evaluating BERT for natural language inference: A case study on the CommitmentBank
... Natural language inference (NLI), the task of identifying whether a hypothesis can be in- ferred from, contradicted by, or not related to a premise, has become one of the standard bench- mark tasks ... See full document
6
A Linear Programming Formulation for Global Inference in Natural Language Tasks
... our inference procedure, we assume the problem of segmentation (or phrase detection) (Abney, 1991; Punyakanok and Roth, 2001) is solved, and the entity boundaries are given to us as input; thus we only concentrate ... See full document
8
Natural Language Inference with Definition Embedding Considering Context On the Fly
... Bahdanau et al. (2017) proposed a method that en- ables dictionary information to be used in NLP tasks, such as NLI, reading comprehension, and language modeling. Their method can obtain the embeddings of OOV ... See full document
6
Neural Natural Language Inference Models Enhanced with External Knowledge
... In this paper we enrich neural-network-based NLI models with external knowledge. Unlike early work on NLI (Jijkoun and de Rijke, 2005; MacCartney et al., 2008; MacCartney, 2009) that explores external knowledge in ... See full document
12
An overview of Natural Language Inference Data Collection: The way forward?
... semantic inference but are rather complicated in terms of their ...of inference assumed in a number of the examples is ...of inference that should not be categorised as ... See full document
7
Asynchronous Deep Interaction Network for Natural Language Inference
... In this paper, we propose an asynchronous deep interaction network (ADIN) for natural language inference. To simulate human reasoning process, ADIN is stacked with multiple asynchronous in- ference ... See full document
9
Enhanced LSTM for Natural Language Inference
... as natural language inference could well involve both, which has been discussed in the context of rec- ognizing textual entailment (RTE) (Mehdad et ...local inference modeling and ... See full document
12
Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information
... Sentence matching is widely used in various natural language tasks such as natural language inference, paraphrase identifi- cation, and question answering. For these tasks, understand- ... See full document
8
Learning Natural Language Inference with LSTM
... In this paper, we propose a new LSTM-based ar- chitecture for learning natural language inference. Different from previous models, our prediction is not based on whole sentence embeddings of the ... See full document
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