Long Distance Dependencies

otherentity ID: longdistancedependencies

Related Papers

Treatment of Long Distance Dependencies in LFG and TAG: Functional Uncertainty in LFG Is a Corollary in TAG

Authors: nan

Publication: TIPSTER (1989)

DOI: nan

In this paper the functional uncertainty machin- ery in LFG is compared with the treatment of long distance dependencies in TAG. It is shown that the functional uncertainty machinery is …...

35838

Automatic Extraction and Evaluation of Arabic LFG Resources

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

AbstractThis paper presents the results of an approach to automatically acquire large-scale, probabilistic Lexical-Functional Grammar (LFG) resources for Arabic from the Penn Arabic Treebank (ATB). Our starting point is the …...

13658

Because Syntax Does Matter: Improving Predicate-Argument Structures Parsing with Syntactic Features

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

Parsing full-fledged predicate-argument struc- tures in a deep syntax framework requires graphs to be predicted. Using the DeepBank (Flickinger et al., 2012) and the Predicate- Argument Structure treebank (Miyao and …...

23698

Vectorial Semantic Spaces Do Not Encode Human Judgments of Intervention Similarity

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractDespite their practical success and impressive performances, neural-network-based and distributed semantics techniques have often been criticized as they remain fundamentally opaque and difficult to interpret. In a vein similar to …...

41907

Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractWe show that the state-of-the-art Transformer MT model is not biased towards monotonic reordering (unlike previous recurrent neural network models), but that nevertheless, long-distance dependencies remain a challenge for the …...

41721

Wide-Coverage Neural A* Parsing for Minimalist Grammars

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractMinimalist Grammars (Stabler, 1997) are a computationally oriented, and rigorous formalisation of many aspects of Chomsky’s (1995) Minimalist Program. This paper presents the first ever application of this formalism to …...

39723

Learning Source Phrase Representations for Neural Machine Translation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe Transformer translation model (Vaswani et al., 2017) based on a multi-head attention mechanism can be computed effectively in parallel and has significantly pushed forward the performance of Neural Machine …...

38384