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A Phrase Based Alignment Model for Natural Language Inference
... the phrase-based representation: we can align very few and poorly represented as units, without being forced to make an arbitrary choice as to which word goes with which ...into phrase edits of size ... See full document
10
A Hybrid Word Alignment Model for Phrase Based Statistical Machine Translation
... chunk alignment from Chinese-English parallel ...chunk alignment (Zhou ...chunk alignment; they used an SMT based model for chunk translation and then aligned the source- target chunk ... See full document
8
Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase based Translation
... Phrase-based statistical machine translation (PBSMT) (Koehn et al., 2003) has been widely used in the last decade. One major problem with PBSMT is word reordering. Since PBSMT models the translation process ... See full document
10
Learning Natural Language Inference with LSTM
... of natural language infer- ence. Based on a recent work by Rockt¨aschel et ...mLSTM model outperformed the state-of-the-art performance reported so far on this data ... See full document
10
Natural Language Inference by Tree Based Convolution and Heuristic Matching
... to model sentence pairs is the “Siamese” structure (Bromley et ...sentence model and a matching layer to de- termine the relationship between two ...to model sentence pairs for im- plicit logical ... See full document
7
Learning in Natural Language: Theory and Algorithmic Approaches
... Transformation-based error-driven learning and natural language processing: A case study in part of speech tagging.. Prepositional phrase attach- ment through a backed-off model.[r] ... See full document
6
Natural Language and Inference in a Computer Game
... constraint based dependency parser we use for parsing and generation achieves very good average case runtimes on the grammars and inputs we ...world model and user knowledge takes 546ms per turn on aver- ... See full document
7
Improving Neural Language Models by Segmenting, Attending, and Predicting the Future
... in natural lan- guages, Dyer et ...this model. To utilize the constituent structures in language modeling without syntax annotation, parse-read- predict networks (PRPNs; Shen et ...learn ... See full document
11
Enhanced LSTM for Natural Language Inference
... attention-based model. The model marked with Rocktäschel et ...The model of Wang and Jiang (2016) ex- tends this idea to explicitly enforce word-by-word matching between the hypothesis and the ... See full document
12
Natural Language Inference with Monotonicity
... or phrase from K and get an inference: all ↑ cat ↓ sleep ↑ ...logically-possible model, there might not be any animals. In that model, both all animals sleep and no animals ...more ... See full document
8
An Unsupervised Model for Joint Phrase Alignment and Extraction
... unsupervised model for joint phrase alignment and extraction using non- parametric Bayesian methods and inversion transduction grammars ...the model through the use of a novel formulation that ... See full document
10
Nonparametric Spherical Topic Modeling with Word Embeddings
... to model the density of words over a unit ...topic model and propose an efficient infer- ence algorithm based on Stochastic Vari- ational ...This model enables us to naturally exploit the ... See full document
6
Research on attention memory networks as a model for learning natural language inference
... Stanford Natural Language Inference (SNLI) corpus for the purpose of encour- aging more learning centered approaches to NLI (Bowman et ...work based on neural networks for text similarity ... See full document
7
An Alignment Capable Microplanner for Natural Language Generation
... best model the particular speaker under ...(in phrase 15 and 22; cf. Table 1) and thus our priming-based alignment model can account for 92% of the target nouns produced by speaker ... See full document
8
Bayesian Subtree Alignment Model based on Dependency Trees
... in alignment accu- racy between grow-diag-final-and and Initializa- tion is small, the BLEU score was improved by ...incorrect alignment points and the qual- ity of translation table becomes ...our ... See full document
9
A Decomposable Attention Model for Natural Language Inference
... Asymptotically our approach does the same total work as a vanilla LSTM encoder, while being triv- ially parallelizable across sentence length, which can allow for considerable speedups in low-latency set- tings. ... See full document
7
Integration of Reduplicated Multiword Expressions and Named Entities in a Phrase Based Statistical Machine Translation System
... The language specific Multiword expressions (MWEs) play important roles in many natural language processing (NLP) ...the Phrase Based Statistical Machine Translation (PBSMT) to improve ... See full document
9
Scalable Variational Inference for Extracting Hierarchical Phrase based Translation Rules
... Variational-Bayes model for learning rules for the Hierarchical phrase- based model directly from the phrasal ...Our model is an alternative to heuristic rule extraction in hierarchical ... See full document
9
Semi Markov Phrase Based Monolingual Alignment
... known phrase- based aligners specifically designed for aligning En- glish sentence ...handles phrase-based alignment of arbitrary phrase ...monolingual alignment has also ... See full document
11
Explaining Simple Natural Language Inference
... This notion of “human reading” assumes human common sense and common background knowl- edge. This means that a successful automatic NLI system is a suitable evaluation measure for real natural language ... See full document
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