[PDF] Top 20 Generation from Abstract Meaning Representation using Tree Transducers

... We evaluate on the AMR Annotation Release ver- sion 1.0 (LDC2014T12) dataset. We follow the rec- ommended train/dev./test splits, except that we re- move MT09 data (204 sentences) from the training data and use it ... See full document

... The Abstract Meaning Representation (AMR) is a representation for open- domain rich semantics, with potential use in fields like event extraction and machine ...Node generation, ... See full document

... headline generation tasks. We selected abstract meaning representation (AMR) as syntac- tic and semantic information, and proposed an attention-based AMR encoder-decoder ...headline ... See full document

... To design a representative set of augmented AMRs that capture the breadth of information neces- sary for collaborative dialogue in our domain, we started by creating a histogram of existing dialogue annotation categories ... See full document

... generated using the JAMR aligner for AMR ...the generation of concepts in the gold AMR ...retrained, meaning that the NE model cannot reliably recognize this entity type (we end up with nine ... See full document

... recognizable tree languages, which are sets of trees accepted by a non-transducing automaton version of ...language generation (Langkilde 2000; Nederhof and Satta 2002) is a finite wRTG without loops—for all ... See full document

... The representation captures who is doing what to whom like other semantic role labeling (SRL) schemes ...of meaning outside of seman- tic role information, such as fine-grained quan- tity and unit ... See full document

... phrases using Ab- stract Meaning Representation ...graph representation for the meaning of a sentence, in which noun phrases (NPs) are manually annotated with internal structure and ... See full document

... In this section we discuss various transformations to our AMR data. Initially, we concern ourselves with converting AMR into a form that is amenable to GHKM rule extraction and string to tree decod- ing. We then ... See full document

... model from AMR graphs to ...generative tree/string transduction story is clear, but in the absence of alignment con- straints, there are too many derivations and rules for EM to efficiently ... See full document

... approaches using graph transduc- ers such as (synchronous) hyperedge replacement grammars (Chiang et ...spanning tree algorithms are an alternative to us- ing shift-reduce and dynamic programming algo- ... See full document

... The second is AMREager (Damonte et al., 2017), which is a transition-based parser that works by scanning the string left-to-right and building the graph as the scan proceeds. This transition-based system is akin to the ... See full document

... which are searched in the peer summary sentences. For each sentence in the peer summary, we get the corresponding AMR tree and match its triples against the gold ones. The Smatch variable map- ping is used for ... See full document

... as Abstract Meaning Representation in natural language processing is to automatically map natural language strings to their meaning ... See full document

... Syntactic treebanks have had tremendous impact on natural language processing. The Penn Tree- bank is a classic example—a simple, readable file of natural-language sentences paired with rooted, labeled syntactic ... See full document

... Why should we use continuous semantic representa- tions? As soon as we deal with semantic descrip- tion, we are confronted with the question of catego- rization. A main lexical meaning, as it can be found in a ... See full document

... streaming tree transducer reads the input nested word left-to-right in a single ...computed using a finite set of variables with values ranging over output nested words, possibly with holes that are used as ... See full document

... Although this work is mainly language indepen- dent, proof-of-concept experiments will be executed on the English and Brazilian Portuguese (en-ptBR) language pair. Previous research on factored trans- lation for this ... See full document

... into meaning representations, and must abstract over syntactic phenom- ena, resolve anaphora, and identify word senses to eliminate ambiguous interpre- ...tations. Abstract meaning ... See full document

... are strings containing state-marked input subtrees). We have developed an xRS training procedure similar to the xR procedure, with extra computational expense to con- sider how different productions might map to ... See full document