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Abstract Meaning Representation for Sembanking
We describe Abstract Meaning Representation (AMR), a semantic representation language in which we are writing down the meanings of thousands of English sentences. We hope that a sembank of simple,Expand
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What's in a translation rule?
Abstract : We propose a theory that gives formal semantics to word-level alignments defined over parallel corpora. We use our theory to introduce a linear algorithm that can be used to derive fromExpand
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Scalable Inference and Training of Context-Rich Syntactic Translation Models
Statistical MT has made great progress in the last few years, but current translation models are weak on re-ordering and target language fluency. Syntactic approaches seek to remedy these problems.Expand
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Transfer Learning for Low-Resource Neural Machine Translation
The encoder-decoder framework for neural machine translation (NMT) has been shown effective in large data scenarios, but is much less effective for low-resource languages. We present a transferExpand
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A Syntax-based Statistical Translation Model
We presenta syntax-basedstatistical translationmodel. Our model transforms a source-languageparse tree into a target-languagestring by applying stochasticoperationsat eachnode.Expand
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Empirical Methods for Compound Splitting
Compounded words are a challenge for NLP applications such as machine translation (MT). We introduce methods to learn splitting rules from monolingual and parallel corpora. We evaluate them against aExpand
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Summarization beyond sentence extraction: A probabilistic approach to sentence compression
When humans produce summaries of documents, they do not simply extract sentences and concatenate them. Rather, they create new sentences that are grammatical, that cohere with one another, and thatExpand
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Toward Distributed Use of Large-Scale Ontologies t
Large scale knowledge bases systems are difficult and expensive to construct. If we could share knowledge across systems, costs would be reduced. However, because knowledge bases are typicallyExpand
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Smatch: an Evaluation Metric for Semantic Feature Structures
The evaluation of whole-sentence semantic structures plays an important role in semantic parsing and large-scale semantic structure annotation. However, there is no widely-used metric to evaluateExpand
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Statistics-Based Summarization - Step One: Sentence Compression
When humans produce summaries of documents, they do not simply extract sentences and concatenate them. Rather, they create new sentences that are grammatical, that cohere with one another, and thatExpand
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