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Inter Weighted Alignment Network for Sentence Pair Modeling

Inter Weighted Alignment Network for Sentence Pair Modeling

... This work proposes a weighted alignment model for sentence pair modeling. We utilize an align- ment layer to measure the similarity of sen- tence pairs according to their degree of alignment. Moreover, we ...

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Character Based Neural Networks for Sentence Pair Modeling

Character Based Neural Networks for Sentence Pair Modeling

... Recently, there have been various neural network models proposed for sentence pair modeling tasks, including semantic similarity (Agirre et al., 2015), paraphrase identification (Dolan et al., 2004; Xu et ...

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Efficient kernels for sentence pair classification

Efficient kernels for sentence pair classification

... and sentence pairs as tDAGs, de- termining whether or not a sentence pair can be unified with a first-order rewrite rule is a graph matching ...

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Modelling Interaction of Sentence Pair with Coupled LSTMs

Modelling Interaction of Sentence Pair with Coupled LSTMs

... Recently, there is rising interest in modelling the interactions of two sentences with deep neural networks. However, most of the exist- ing methods encode two sequences with sepa- rate encoders, in which a ...

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Learning to Recognize Ancillary Information for Automatic Paraphrase Identification

Learning to Recognize Ancillary Information for Automatic Paraphrase Identification

... a sentence pair from MSRP, we (i) extract the ATF from it and (ii) automatically annotate it as ancillary if the pair is a paraphrase and not ancillary ...

6

Utilizing BERT for Aspect Based Sentiment Analysis via Constructing Auxiliary Sentence

Utilizing BERT for Aspect Based Sentiment Analysis via Constructing Auxiliary Sentence

... auxiliary sentence and trans- form (T)ABSA into a sentence-pair classification ...a sentence-pair is better than the single-sentence classification with fine-tuned BERT, which ...

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Survey on Attention Neural Network Models for Natural Language Processing

Survey on Attention Neural Network Models for Natural Language Processing

... translation, sentence summarization,sentence pair modeling, paraphrase identification, natural language inference, question answering etc typically learn the sentence embedding for ...

5

Learning Better Rule Extraction with Translation Span Alignment

Learning Better Rule Extraction with Translation Span Alignment

... a sentence pair by utiliz- ing a phrase-based forced decoding technique, and then improves syntactic rule extraction by deleting spurious links and adding new valuable links based on bilingual translation ...

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Aspect Based Sentiment Analysis using BERT

Aspect Based Sentiment Analysis using BERT

... The architecture of transformers is not based on RNNs but on attention mechanics (Vaswani et al., 2017), which decides what sequences are impor- tant in each computational step. The encoder does not only map the input to ...

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Preprocessing on bilingual data for Statistical Machine Translation

Preprocessing on bilingual data for Statistical Machine Translation

... The sentence-level alignment refers to the way the sentences in the corpus are ...given sentence in one half of the parallel corpus is in the same sequential position as a sentence in the other half ...

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Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation

Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation

... a sentence pair and an action sequence for this pair, we can apply supervised learning method to learn a parameterized policy for simultaneous ...

6

Creating Disjunctive Logical Forms from Aligned Sentences for Grammar Based Paraphrase Generation

Creating Disjunctive Logical Forms from Aligned Sentences for Grammar Based Paraphrase Generation

... gual sentence-aligned paraphrase subcorpora from differing text genres, with word-level alignments provided by two human ...corpus sentence pair using the OpenCCG parser to yield a logical form (LF) ...

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The Projector: An Interactive Annotation Projection Visualization Tool

The Projector: An Interactive Annotation Projection Visualization Tool

... SL sentence and the TL sentence ...a sentence, or - if a corpus is selected as in- put option - be populated by selecting a sentence using the corpus ...one sentence field populated, ...

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Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task

Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task

... identify sentence pairs that are, in some way, “strange” for this dataset? Considering each sentence pair as a draw from a distribution of high-dimensional vectors, we de- fine an anomalous ...

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Constructing Corpora for the Development and Evaluation of Paraphrase Systems

Constructing Corpora for the Development and Evaluation of Paraphrase Systems

... not defined how we sample valid sets of phrase pairs. This is done via the word align- ments. Recall that the annotators start out with alignments from an automatic word- aligner. Firstly, we develop a distribution to ...

18

ATLAS – A New Text Alignment Architecture

ATLAS – A New Text Alignment Architecture

... 242 sentence pairs from this reference set to create a word align- ment gold ...Some sentence pairs of this set have been chosen randomly, the others are taken from two text passages in the ...choosing ...

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Exploiting Sentence Similarities for Better Alignments

Exploiting Sentence Similarities for Better Alignments

... a pair of chunks, we extract the following similarity features: (1) Absolute cosine similari- ties of GloVe embeddings (Pennington et ...the pair of head words, (2) the pair of head words being ...

11

Surrogate Learning   From Feature Independence to Semi Supervised Classification

Surrogate Learning From Feature Independence to Semi Supervised Classification

... To evaluate the capability of the method to find paraphrases, we conducted five separate experi- ments using each pattern in Table 2 individually as a seed and counting the number of obtained sentences containing each of ...

9

Extraction Programs: A Unified Approach to Translation Rule Extraction

Extraction Programs: A Unified Approach to Translation Rule Extraction

... A labeled rule is a pair hr, li, where r is an un- labeled rule, and l is a “label”. The unlabeled rule defines the essential structure of a rule. The label gives us auxiliary information we can use as decod- ing ...

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Incremental Text Structuring with Online Hierarchical Ranking

Incremental Text Structuring with Online Hierarchical Ranking

... To achieve this goal, we introduce a novel method for sentence insertion that operates over a hierarchi- cal structure. Our document representation includes features for each layer of the hierarchy. For ex- ample, ...

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