Commit Graph

1190 Commits

Author SHA1 Message Date
Travis
cf2156c0e2 [auto][ci skip] Adding data files from Travis build #375 2018-02-22 03:32:16 +00:00
Al
afd225048a [fix] DICTIONARY_STREET_NAME applies only to the street component, unlike synonyms, which would apply to any compnoent. This makes street names a good place to add synonyms found in streets that are not exactly thoroughfare types i.e. could not be removed from the string and have it retain more or less the same meaning. 2018-02-21 22:17:04 -05:00
Al
0f20613c13 [expand] using street name dictionaries as a possible root component instead of having to pollute the synonyms dictionary, which also affects the parser and might be a better place for general purpose synonyms affecting all components. 2018-02-21 22:16:07 -05:00
Travis
8075ee6f49 [auto][ci skip] Adding data files from Travis build #374 2018-02-22 01:21:23 +00:00
Al
09408b1075 [fix] for regular expansion, use gazetteer components or overrides 2018-02-15 18:55:37 -05:00
Al
c5429de4d7 [fix] no gazetteer changes yet, breaks the parser 2018-02-15 18:52:16 -05:00
Al
78d621ac85 [fix] adding street type gazetteer to name component as well for things like "24th St Cheese Co" 2018-02-15 18:13:27 -05:00
Al
9c12a11fd7 [fix] check expansion address components for regular expansion, overrides for root expansion 2018-02-15 16:19:50 -05:00
Al
9390e638ae [fix] for regular non-root expansion, check that components are valid (for near-dupe expansions or other cases where component options are passed in) 2018-02-08 13:49:24 -05:00
Al
2290b0991e [fix] transliteration case where a context no match comes at the end of the string 2018-02-06 15:08:11 -05:00
Al
156c8bed40 [fix] check that second double metaphone alternative is not the empty string 2018-02-06 03:08:37 -05:00
Al
3a5c048419 [fix] in root expansions, if the current phrase has at least one valid expansion, and the current expansion is not valid, ignore it 2018-02-06 02:36:05 -05:00
Al
8b96173a32 [fix] max dictionaries is now 5, weird that that wasn't committed by the Travis build 2018-02-06 01:58:15 -05:00
Travis
a9dded3a18 [auto][ci skip] Adding data files from Travis build #367 2018-02-06 01:43:25 +00:00
Al
4d3619d493 [dedupe] moving name-only near-dupe hashes to a separate if block so they can be used in conjunction with name+address 2018-02-03 14:03:17 -05:00
Al
7cb85aa23c [dedupe] to make soft token similarity order invariant, we swap the order so the shorter token sequence comes first. In the case of a tie, pick the shorter full string length 2018-01-26 18:04:45 -05:00
Al
4aeb549054 [dedupe] with some term weighting schemes (especially information gain which will soon be the default in the lieu project), single letters may have very low weights such that they will be discarded, which can lead to false positives for things like "A & B" vs. "B & C", so add a simple heuristic to simply demote likely dupes to needs review when there's a positive symmetric difference (or whatever the set theory term is for when A - B and B - A are both non-empty) 2018-01-26 01:20:35 -05:00
Al
af5a5c3039 [dedupe] in the case of abbreviations and acronyms, where we use the higher of the two scores, calculate an offset to the norm of the other string's scores i.e. sincey we're replacing the score(s) in the lower-scoring vector with the higher one in the dot product for the numerator, do the same for the L2-norm product in the denominator. This way we don't accidentally inflate the similarity value simply because e.g. an acronym token was more rare than the same acronym spelled out as multiple individual letters (tend to be low-information/common tokens). 2018-01-25 16:32:47 -05:00
Al
13230824a2 [fix] Damerau-Levenshtein distance costing for transposes was off 2018-01-25 16:26:41 -05:00
Al
d0fe31d359 [dedupe] for strict abbreviations (defined as sharing a prefix and a suffix, and containing matches+gaps only by the subtotaling affine gap measure), using the greater of the two scores. This accounts for cases where the abbreviated version may have a much higher weight in one string than the non-abbreviated version does in the other. Same for acronym alignments. Making sure there's a common prefix in regular abbeviation detection Capping the Soft-TFIDF similarity at 1.0. 2018-01-25 14:23:18 -05:00
Al
b4cc7395a2 [fix] was missing some shorter tokens that are unicode equal in Soft-TFIDF 2018-01-25 04:23:35 -05:00
Al
c4aaee7dbf [dedupe/similarity] also utilizing the L2 norm in similarity when acronyms are detected. Similarity in this case should be the acronym token's score * the L2 norm of the expanded tokens' scores in the longer string 2018-01-23 01:20:14 -05:00
Al
ccce4f793f [optimization] for the FTRL and SGD optimizers, use the new *_array_sum_sq function to do L2 regularization, vs. the L2 norm which will use the linear algebra meaning 2018-01-22 01:56:32 -05:00
Al
eb3fb37ad4 [similarity/dedupe] normalizing by the product of the L2 norms in soft token similarity function, as in cosine similarity. Score vectors should be passed in unnormalized, and typically with unit length. Also, for aligned phrases that share the same canonical phrase, contribute the product of the two norms of the phrase vectors to the similarity's numerator (maximum value, as if each token in both strings had matched exactly). The previous version over-counted the importance of aligned multi-word phrases by doing a cross product, which could overshadow other more important terms. 2018-01-22 01:38:12 -05:00
Al
2883b57eb3 [fix] sqrt in l2 norm 2018-01-22 01:07:52 -05:00
Al
3c5713ef59 [fix] check for sub-acronyms with no stopwords in near-dupe hashing 2018-01-21 17:49:46 -05:00
Al
fa40a7e87c [fix] initialize repeat_state_end in transliteration. Couldn't reproduce the conditional jumps in #308, but this seems to be where they're occurring, and it's generally good practice to initialize things 2018-01-21 16:24:19 -05:00
Al
984235e879 [fix] load transliteration for language classifier cli for #302 2018-01-19 14:24:08 -05:00
Al
7121642c62 [dedupe] fixing sub-acronym near-dupe hashes with punctuation, and making sure to add the current token after a new sub-acronym has been cut 2018-01-18 00:11:21 -05:00
Al
95e483e3ca [fix] case-insensitive comparison of content-length header in data download script 2018-01-17 17:31:42 -05:00
Travis
a4793f0f79 [auto][ci skip] Adding data files from Travis build #343 2018-01-16 09:30:46 +00:00
Al
03e5e25240 [dedupe] adding a near-dupe hash which takes into account existing acronyms which may have appeared in the string, either known acronyms as defined in the dictionaries like "HS" and includes the full token in the acronym. This feature is particularly useful for public schools or other cases where the canonical string may be used i.e. "Foo High School", "Foo HS" and "FHS". It also does the same thing other acronyms that are identified by the tokenizer from the internal period structure like A.B.C. Also now allowing mixed alpha-numeric tokens to use the double metaphone encoding as well, and for numeric tokens with script=Common (digits but may also contain hyphens, etc.), the full token is included as one of the words rather than quadgrams, which don't make sense for numerics. 2018-01-16 03:38:22 -05:00
Al
0286a2fef3 [expand] for root expansions, delete ambiguous tokens only when there's a non-numeric non-phrase token present. This applies to all name components, not for components where numerics can be the root (house numbers, units, streets, etc.) 2018-01-16 03:02:26 -05:00
Al
0ee18b4f6c [dedupe] adding a function to acronyms module to detect existing/known acronyms like MS for middle school, HS for high school, etc. Forms like MS have to be deined in the dictionaries specifically but any acronym written like M.S. will be detected as such by the tokenizer 2018-01-15 23:47:16 -05:00
Al
133381f439 Merge branch 'master' of ssh://github.com/openvenues/libpostal 2018-01-14 19:40:44 -05:00
Al
c553fe81ee [dedupe] using 4-grams with no edge disambiguation in near dupe hashing of names instead of full tokens (uses the double metaphone for Latin script, 2-grams for ideographic scripts and 4-gram unicode chars for other scripts like Arabic or Cyrllic). The fully concatenated name string with no whitespace + acronyms/subacronyms now also use double-metaphone in Latin script, and are split into 4-grams. Overall this reduces the number of keys, accounts for more misspellings as well as languages with longer words such as German, and various spacing/concatenations differences in general, while still being relatively selective. Most words in Latin scripts will resolve to less than 4 characters, so this mostly affects longer words with many consonants. 4-gram blocking tends to be what's used in the literature, and works well in practice on human and venue names. This is a slight departure from said literature in that we use 4-grams of the phonetic normalization for Latin scripts. 2018-01-14 19:12:28 -05:00
Travis
c58b16e745 [auto][ci skip] Adding data files from Travis build #341 2018-01-11 23:35:43 +00:00
Al
f5e41a1f57 [fix] logic in sub-acronym generation for near-dupe hashes 2018-01-11 13:15:19 -05:00
Al
6ba0403748 [dedupe] adding a near-dupe hash for acronyms both with and without stopwords. This will create basic acronyms for institutions like MoMA, UCLA, the NAACP, as well as human initials, etc. It also handles sub-acronyms, so when either at every other non-contiguous stopword (University of Texas at Austin) or punctuation (University of Texas, Austin), it cuts a new sub-acronym (so UT). All of the acronyms for Latin script use a double metaphone as well, so can potentially catch many cases. It does not handle all possible acronyms (e.g. where some of the letters are word-internal as in medical acronyms), but should do relatively well on many common variations. 2018-01-10 22:23:40 -05:00
Al
c29557c16b [expand] adding another check in root expansions, making sure we don't ignore the unmodified ambiguous phrase 2018-01-08 19:03:50 -05:00
Al
e6edf54adb [dedupe] adding a near-dupe hash for the entire name without spaces. 2018-01-08 19:02:19 -05:00
Al
66aee0fffa [expand] make street type dictionaries ignorable for venue names as well (many company names mention their address, so sort of have to apply the same rules) 2018-01-07 01:39:10 -05:00
Al
e935f2a036 [fix] need to calculate max Jaro-Winkler for other methods, so only test whether we should use it after we've cycled through all the tokens 2018-01-06 03:59:34 -05:00
Al
179e6581e5 [dedupe] for fuzzy street duplicates, using the likely dupe classification regardless of similarity if one set of tokens is fuzzily-contained within the other (the set of matches allows for words matching Jaro-Winkler/Levenshtein similarity, being out of order, etc. but not acronyms or the more flexible abbreviation detection, just abbreviations out of libpostal's dictionaries provided that the abbreviations use share the same canonical phrase with the aligned phrase in the other string) 2018-01-06 03:55:20 -05:00
Al
4356174630 [similarity] adding a match count in Soft-TFIDF to allow answering questions about subsets i.e. the set of tokens in "Park Pl" contain the set of tokens in "Park". Setting Jaro-Winkler minimum length of 4 chars on, more specific option name for possible abbeviation detection 2018-01-06 03:50:03 -05:00
Gregory Oschwald
2f6749fe03 Fix segfault in expand_alternative_phrase_option
string_tree_get_alternative can return NULL
2018-01-02 13:28:51 -08:00
Gregory Oschwald
18cc0e37e6 Only create parser response when it is used
Previously, an unused response would not be freed, causing a leak.
2018-01-02 11:56:02 -08:00
Gregory Oschwald
999de2bf6a Add missing char_array_destroy when numex is invalid 2018-01-02 10:24:39 -08:00
Al
071aee0e85 [fix] in root expansions, removing phrases that are invalid for the given components if there are other ignorable components 2018-01-02 03:49:52 -05:00
Al
d8a0a344cd Merge branch 'master' of ssh://github.com/openvenues/libpostal 2017-12-31 19:20:42 -05:00