[PDF] Top 20 Is Sentence Compression an NLG task?
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Is Sentence Compression an NLG task?
... of sentence alignment Word compression A significant part of the re- duction in subtitle characters is actually not ob- tained by deleting words but by lexical substitution of a shorter ...word ... See full document
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Evaluating Sentence Compression: Pitfalls and Suggested Remedies
... Sentence compression is the natural language gen- eration (NLG) task of automatically shortening sen- ...for NLG, and many of the prob- lems identified in this work are relevant for ... See full document
7
Supervised and Unsupervised Learning for Sentence Compression
... and sentence compres- sion in particular, are popular ...the task of statistical sentence compression in Statistics-Based Summarization - Step One: Sentence Compression (Knight ... See full document
8
Sentence Compression with Joint Structural Inference
... and dependency arcs in U and V respectively. The joint objective in (2) is an appealingly straightfor- ward and yet general formulation for the compres- sion task. For instance, the use of standard sub- structures ... See full document
10
Sentence Compression Beyond Word Deletion
... the task computationally feasible, allowing efficient decoding using a dynamic program (Knight and Marcu, 2002; Turner and Charniak, 2005; McDon- ald, ...this task ranging from in- stantiations of the ... See full document
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Unsupervised Rewriter for Multi Sentence Compression
... Multi-sentence compression (MSC) aims to gener- ate a single shorter and grammatical sentence that preserves important information from a group of related ...multi- sentence compression ... See full document
6
Sentence Compression with Semantic Role Constraints
... Our investigation was held in training data. There are 3137 verbal predicates and 7852 unique argu- ments. We performed SR labeling by LTH (Johans- son and Nugues, 2008), an SR labeler for CoNLL- 2008 shared task. ... See full document
5
Fast and Robust Compressive Summarization with Dual Decomposition and Multi Task Learning
... We present a dual decomposition frame- work for multi-document summarization, using a model that jointly extracts and compresses sentences. Compared with previous work based on integer linear pro- gramming, our approach ... See full document
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Subtree Extractive Summarization via Submodular Maximization
... the task of summariza- tion of Japanese text by means of sentence com- pression and ...original sentence often make gram- matical ...a sentence, and it is syntactically modi- fied by other ... See full document
10
Constrained Decoding for Neural NLG from Compositional Representations in Task Oriented Dialogue
... pre-neural NLG systems into a neu- ral ...traditional NLG — and underscore the im- portance of exerting control over these relations when generating text, particularly when using user models to structure ... See full document
14
A Language Model based Evaluator for Sentence Compression
... compression task as an optimization problem by using integer linear programming, whereas (Filip- pova et ...the sentence compres- sion task as a sequence labeling problem using the recurrent ... See full document
6
Japanese Sentence Compression with a Large Training Dataset
... Sentence compression is the task of shorten- ing a sentence while preserving its important information and ...tence compression systems are useful by them- selves and also as a module ... See full document
6
Approximation Strategies for Multi Structure Sentence Compression
... Multi-Structure Sentence Compression Even though compression is typically formulated as a token deletion task, it is evident that drop- ping tokens independently from an input sentence ... See full document
11
Query focused Sentence Compression in Linear Time
... To our knowledge, a public implementation of this method does not exist. We reimplement from scratch using Gurobi Optimization (2018), achiev- ing a test-time, token-level F1 score of 0.76 on the unconstrained ... See full document
7
Sentence Fusion via Dependency Graph Compression
... novel sentence fusion method based on dependency structure alignment and semantically and syntactically informed phrase aggregation and ...within NLG” (Reiter & Dale, 2000, ... See full document
9
Discourse Chunking and its Application to Sentence Compression
... diction task, which is in itself an important sub- task for discourse ...segmentation task. However, on the labelling task, the stacked variant performs sig- nificantly ... See full document
8
Sentence Compression For Automatic Subtitling
... important task, especially with the recent intro- duction of legislation which mandates all pro- grammes of the Finnish national broadcasting cor- poration to be subtitled, even in cases where the programme is in ... See full document
9
A Tree to Sequence Model for Neural NLG in Task Oriented Dialog
... Generating fluent natural language responses from structured semantic representations is crucial to building engaging and effective task-oriented di- alog systems. Neural approaches for natural lan- guage ... See full document
6
A New Annotated Portuguese/Spanish Corpus for the Multi Sentence Compression Task
... first sentence from different ar- ticles about Science, Sports, Economy, Health, Business, Technology, Accidents/Catastrophes, General Information and other ...source sentence is composed of at least 8 to- ... See full document
5
Parallel Sentence Compression
... Text simplification is a well studied application of Natural Language Processing (NLP) tech- niques. Its main goal is to reduce the complexity of a text without degrading the informational content. This task ... See full document
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